Next Article in Journal
Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review
Next Article in Special Issue
Optimal Sand−Paving Parameters Determination of an Innovatively Developed Automatic Maize Seeding Machine
Previous Article in Journal
Research and Experiment on Variable-Diameter Threshing Drum with Movable Radial Plates for Combine Harvester
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Key Technologies of Plug Tray Seedling Transplanters in Protected Agriculture: A Review

1
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
2
Key Laboratory of Intelligent Equipment and Robotics for Agriculture, Hangzhou 310058, China
*
Author to whom correspondence should be addressed.
Agriculture 2023, 13(8), 1488; https://doi.org/10.3390/agriculture13081488
Submission received: 4 July 2023 / Revised: 17 July 2023 / Accepted: 25 July 2023 / Published: 27 July 2023

Abstract

:
The process of plug tray seedling transplanting is a crucial step in protected agriculture production. Due to issues such as high labor intensity, poor consistency of work quality, and low efficiency, the application of automated transplanting machines has provided a solution to these issues. For the diversity of transplanting operations, various mechanical structures and technological applications have been developed for automated transplanting equipment. Therefore, this paper provides systematic research of current studies on the key transplanter technologies. Firstly, through an analysis of the types of transplanting operations, the technical requirements of automated transplanting equipment for different operation types are elucidated. Subsequently, the key technologies applied in transplanting machines are discussed from the perspectives of substrate physical characteristics, end effectors, integration of multiple end effectors, vision systems, and transplanting path planning. Moreover, an analysis is conducted on the advantages, disadvantages, and application scenarios of different research methods for each key technology. Lastly, the existing problems and technical difficulties of the transplanting machine are summarized, and future research directions are discussed. This analysis provides a valuable reference for further research and development in the field of transplanting machines for plug tray seedlings.

1. Introduction

Vegetables are an indispensable component of the human diet, as they provide essential nutrition, such as fiber, vitamins, antioxidants, and minerals [1]. The increasing global population has resulted in a surge in demand for vegetables [2]. Protected agriculture, including indoor, greenhouse, and artificial light plant factory cultivation [3,4,5], offers a viable solution to meet this demand [6]. Protected agriculture employs techniques that control climatic factors, such as light, carbon dioxide content, temperature, and humidity, to create favorable conditions for plants [7,8]. This method provides high yield, good quality, continuous production, efficient resource utilization, and minimal impact on environmental changes [9,10,11], making it an excellent option for vegetable crop production [12].
Plug tray seedling technology is widely utilized in protected agriculture due to its high germination rate, neat growth, seed-saving benefits, and suitability for mechanized operation [13]. After a period of growth in a plug tray, the seedlings must be picked, replanted, transplanted, and sorted to foster optimal growth conditions [14]. Plug tray seedling transplanters are machines used for transplanting seedlings from the high-density plug tray to the low-density plug tray or flower pot. A complete set of transplanting equipment typically requires functions such as inferior seedling position recognition, tray conveying, tray hole positioning, substrate gripping, and seedling planting. Additionally, since the target of transplanting machine operations is the substrate with seedlings, it is necessary to ensure that the transplanting gripper does not cause any damage to the seedlings during the transplanting process. Therefore, the design of transplanting machines is more complex compared to commonly used industrial automation equipment.
The research on transplanting equipment for vegetable production in protected agriculture started earlier in the 1980s and 1990s. In America, L.J. Kutz et al. [15] designed a nursery plant transplanter based on Puma560 industrial robot; K.C.TING et al. [16,17] developed a transplanter based on the SCARA robot. In the Czech Republic, HůLa et al. [18] conducted a comparative study on the transplanting effects of three different types of ABB robots. These early studies verified the feasibility of using industrial robots for tray seedling transplanting operations, but they did not conduct practical application research. In Korea, K.H.Ryu et al. [19] developed a transplanter with a CCD vision system, and Kang et al. [20] developed a transplanter with multiple claws based on the Cartesian coordinate manipulator. These transplanting machines have greatly improved the transplanting efficiency and success rate, and they basically met the requirements of practical applications. In Japan, Onosaka et al. [21] invented a transplanter composed of devices for transporting, grasping, selecting, planting, and seedling tray cleaning. Researchers in Japan have conducted extensive research on transplanting machines for field use [22,23] and have also developed transplanting machines for hydroponic cultivation [24,25], but there have been few studies on transplanting machines for plug tray seedlings in protected agriculture. After years of development, Europe has seen the emergence of mature commercial transplanting machines, especially in The Netherlands. The Dutch company Viscon [26] has extensive experience in facility horticulture and has produced a series of transplanters, such as Pic-O-Mat Blueline equipped with multiple patented end effectors, and the transplanting efficiency could reach 35,000 plants per hour. Viscon also has advanced vision systems, whereby crops can be effectively and reliably graded by detecting the volume, height, color, flower quantity, and other characteristics of a plant using a high-resolution camera. The transplanter produced by the TTA Company [27] in The Netherlands is widely used for transplanting vegetables, flowers, and other crops in facility horticulture, such as the PackPlanter Wireless series transplanter for transplanting, the FlexSorter series transplanters for grading, and the MidiPot and MidiCurve for potted flower transplanting. Other facility agricultural suppliers in The Netherlands, such as the Flier Systems Company [28], the ISO Group Company [29], the CODEMA Company [30], have also developed efficient transplanting equipment, which is widely used in practical production. Other companies, such as Urbanati [31] and TEA Project srl [32] in Italy, AgriNomix [33] and Bouldin & Lawson [34] in America, and Transplant System [35] in New Zealand, have all developed commercial transplanters for plug tray seedlings in protected agriculture. Although these commercial transplanting machines have matured in terms of functionality and design, they are designed for planting patterns and standards in a large-scale protected agriculture environment, especially in developed countries. However, there are differences in the production scale, planting mode, planting density, hardware configuration, and other aspects of protected agriculture in different countries. Transplanters have limitations in intelligence, applicability, and universality [36]. In addition, these complete sets of transplanting machines also face problems, such as high prices, high maintenance costs, and long maintenance cycles, which are still difficult for small and medium-sized facility vegetable production enterprises to accept. Therefore, Chinese researchers have developed many plug tray seedling transplanters suitable for their own planting patterns [13,37,38,39,40,41]. In addition to China, research on transplanting machines for potted seedlings in other developing countries has mainly focused on the application of transplanting machines in the field [42,43,44,45,46].
It is evident that the current commercial transplanting machines lack suitable applicability within the facility agricultural environment of developing countries. Transplanters incorporate multiple technologies, including mechanical, electrical, electronic, computer, machine vision, and intelligent sensing. Precisely due to the fact that transplanting machines are electromechanical integration devices encompassing multiple disciplinary technologies, there is a pressing need to scrutinize the pivotal technologies employed in existing transplanting machines, enhance their structural integrity, optimize their functionalities, and mitigate costs. These endeavors aim to render the machines adaptable to a broader spectrum of planting conditions, thereby facilitating their widespread implementation. Several scholars have reviewed some aspects of the key technologies for transplanting machines, but their research content is not comprehensive enough. The differences between the recently published reviews of technologies in plug tray seedling transplanters and this paper were compared and shown in Table 1.
The rest of this paper is organized as follows. In Section 2, we analyze the different types of transplanting operations. In the Section 3, we summarize the key technologies in the design of plug tray seedling transplanters. Finally, we discuss the current problems in the design of plug tray seedling transplanters. The paper is concluded with a conclusion and the future research direction for plug tray seedling transplanters.

2. Overview of Transplanting Operation

Automated transplanting operations can be categorized into several types based on their specific seedling purposes. These include widening-spacing transplanting, replacing bad seedling transplanting, grading transplanting, and tray-to-pot transplanting. As a result, the structural principles of the transplanter vary depending on the type of transplanting operation. In the following paragraphs, we will provide an overview of each type of transplanting operation.

2.1. Types of Transplanting Operation

To maximize planting space, seedlings are typically planted in high-density plug trays with small hole spacing. However, as the plants grow, the crowded environment becomes unsuitable for further plant development. To address this issue, seedlings must be transplanted into larger trays with wider hole spacing, which improves their growth space, light utilization, and ventilation. This process is known as widening-spacing transplanting, as shown in Figure 1a. Several transplanters are available for this kind of operation, including the Pack Planter series from the TTA company in The Netherlands and the RW series from the Urbinati company in Italy.
Substandard seed quality, inaccurate seeding in plug trays, suboptimal temperature and humidity conditions, inadequate nutrition, as well as plant diseases and pests, collectively contribute to a suboptimal germination rate (ranging from 80% to 95%) for seedlings cultivated in plug trays [51]. This results in poor-quality seedlings or empty holes. To mitigate the risks associated with disease and pest outbreaks and enhance the utilization rate of plug trays, it is imperative to implement procedures for the identification and removal of unhealthy seedlings or empty holes, followed by the subsequent replanting with vigorous and disease-free seedlings. This type of operation is referred to as replacing bad seedling transplanting, as shown in Figure 1b. The Fix-O-Mat TIFS-IV from the Viscon company and the CombiFix series from the TTA company are both examples of this type of transplanter.
The process of grading transplanting, as shown in Figure 1c, involves categorizing and grouping seedlings based on factors such as leaf size, leaf count, or plant height. This is typically performed to ensure that seedlings with similar characteristics are transplanted together, improving their uniformity and making them easier to manage. Grading can also be performed for marketing purposes, as seedlings with similar characteristics are often more attractive to buyers. The Select-O-Mat Phoenix from Viscon and the FlexSorter series from TTA are examples of grading transplanters.
Tray-to-pot transplanting is usually used for flower transplanting, where one or several flower seedlings from a plug tray are transplanted into a flower pot, as shown in Figure 1d. The Pic-O-Mat series from Viscon and the MidiCurve from TTA are examples of this type.
Some transplanting operations require a combination of the techniques mentioned above to meet specific process requirements. For example, TTA’s FlexPlanter series can perform both widening-spacing and replacement transplanting, while Young Plant Sorter from Fliersystems can accomplish both grading and widening-spacing transplanting. The SPH-Sorter from Fliersystems can conduct replacement, widening-spacing, and grading transplanting.

2.2. Technical Requirements for Transplanting Operations

The structure and control methods of transplanters are determined by the types of transplanting operations performed. Therefore, the technical requirements of different types of transplanters vary accordingly.
The objective of widening-spacing transplanting is to augment the inter-plant spacing, necessitating the utilization of transplanter equipment equipped with multiple end effectors capable of adjusting the spacing between seedlings. When all seedlings in a tray are of good quality, the multiple end effectors can be lifted and gripped simultaneously, making the structural design and control methods of the end effectors and transplanting manipulators relatively simple. However, when the tray contains poor-quality seedlings or empty holes, the end effectors must independently lift and switch the grippers, making the overall structure and control of the transplanter more complex.
For replacement transplanting, the positions of poor-quality seedlings or empty holes in the tray are unknown, and thus, the end effectors must have the ability to stretch and grip independently. Modern commercial transplanting machines usually use a parallel structure with multiple end effectors to increase work efficiency.
Grading transplanting requires a more precise visual system and an end effector capable of independent driving. The tray-to-pot transplanting principle is similar to widening-spacing transplanting, and the technical requirements are also similar. Table 2 summarizes the technical requirements of transplanters for different types of transplanting operations.

3. Key Technologies of Transplanting Machines

A plug tray seedling transplanter system consists of various components, including the end effectors, transplanting manipulator, conveying and positioning mechanism, visual system, and control system. The research of a tray seedling transplanting machine involves several stages. The first stage involves studying the physical properties of the seedling substrate to design and test the end effector. Next, the transplanting manipulator is designed according to the specific agronomic requirements. Finally, the entire machine is optimized to achieve all the necessary functions required for the transplanting operation. The system composition diagram of plug tray seedling transplanting machines for protected agriculture is depicted in Figure 2.

3.1. Physical Properties of Substrate

The physical properties of the plug tray seedling substrate are crucial in determining the success rate of the end effector’s grasp. To optimize the design of the end effector, researchers have investigated this issue using methods such as force measurement platforms, simulation technology, and image technology. Their findings provide a theoretical foundation for the development of end effectors. A comparison of research methods for the physical properties of the substrate is shown in Table 3.

3.1.1. Force Measuring Platform

The force measuring platform can directly measure the force when the gripper acts on the substrate. Various instruments, such as force gauges, universal testing machines, texture analyzers, and direct shear instruments, are used to measure the tensile, compressive, or shear strength of substrates or seedlings, providing important data for optimizing the end effectors.
The dynamometer is commonly used for measuring various mechanical properties, including the penetration resistance of soil [53], the clamping force of the gripper [52], and the pulling force of the seedling [54]. The universal testing machine is often utilized for determining the substrate cohesion and tray adhesion [57], compression [55], tension [56], bending, and puncture. The texture analyzer is used to measure the compression [58,59,60], tearing, and surface puncture tests [61] of the samples. Additionally, the direct shear apparatus, is employed for measuring the shear strength of the substrate. By measuring the shear stress and shear displacement of the substrate, the cohesive force and internal friction angle of the substrate can be calculated [62].

3.1.2. Simulation Technology

Simulation technology can simulate the grasping process of seeding. By utilizing the finite element method (FEM) or discrete element method (DEM) simulation, researchers can simulate the grabbing process of substrate blocks by grippers, allowing for the calculation of the forces, deformation, and movement of both the gripper and substrate.
Several software, which can perform finite element analysis, such as Solidworks [63], Abaqus and Ansys [67]. These software can simulate the mechanical response of the needle force on the seedling substrate block. Discrete element analysis usually uses the EDEM software. Through EDEM simulation, the effect of grasping different viscous matrices can be compared [14,57]. By utilizing the EDEM–RecurDyn coupling simulation [62], the force exerted on the gripper can be assessed while concurrently analyzing the effect of the clamping force on substrate particles.

3.1.3. Image Technology

Image technology can directly observe the internal structure of the substrate and study the mechanism of substrate damage at the microscopic level. The commonly used techniques include CT and electron microscopy.
The utilization of CT technology [38,64,65] to scan the root system of seedlings enables the generation of a three-dimensional reconstruction of the root system, allowing for observation of the growth and distribution of the root system. Additionally, the impact of diverse composite substrates on seedling growth quality and substrate strength can be investigated by using electron microscopy (SEM) images [66], providing a theoretical basis for exploring the mechanism of substrate damage.

3.2. End Effector

The end effector is the component, which directly contacts the substrate block in the tray. Its function is to grasp the seedlings from a tray and plant them in another tray or pot. Its structure directly affects the operation quality and efficiency of the transplanter. According to the movement form of the gripper, the end effector mainly includes three types: the plug-in and clamping type, oblique insertion type, and deformed sliding needle type. The gripper can be shaped like a shovel or needle; the number of gripper fingers is usually two to four shovels or needles; and the driving methods include cylinder, electric push rod, motor, and electromagnetic [49]. A summary comparison of the end effector structures is shown in Table 4.
The plug-in and clamping type end effector performs insertion and gripping actions during the operation and is widely used in transplanters. In order to achieve the action of inserting and grasping, the plug-in and clamping end effectors are usually controlled by two sets of drives: one for insertion and retraction of the needle, the other for opening and closing of the needle [68]. Some researchers have also designed a linkage mechanical structure with a return spring using a single cylinder to achieve the insertion and clamping actions of the end effector [69,70]. There are also some plug-in and clamping type end effectors, which are limited to gripping actions only and need external manipulation to complete the insertion process [38,71].
The oblique plug-in type end effector refers to a gripper, which is inserted into the substrate at an oblique angle along the hole. Due to the oblique arrangement of the needle, the drive mechanism needs to convert the vertical linear motion of the drive components into linear motion with a certain tilt angle. The oblique insertion mechanism can be a guiding groove mechanism [57,72] or a connecting rod mechanism [53]. The driving unit can be a cylinder [14,54,57] or an electric push rod [53].
Both of these methods will increase the size of the end effector and make it inconvenient to integrate multiple end effectors; however, the structure is reliable and operates stably.
The deformation sliding needle type end effector usually uses the flexible seedling needle and the arc-shaped guide tube to realize the inclined insertion of the seedling needle [73,74,75,76]. This structure is compact, but due to the friction between the flexible needle and the guide tube during the operation, the wear of the needle and the tube may occur during long-term use, and poor lubrication may cause the needles to jam, affecting the operating stability.
Table 4. Structure comparison of end effectors.
Table 4. Structure comparison of end effectors.
Structural StyleDriveGripper ShapeFinger/Shovel QuantityPrinciple CharacteristicsReference
Plug-in clamping typeSingle cylinderAciculiform4Insert and clamp the substrate continuously within one push stroke of the cylinder.[69]
Single cylinderAciculiform4The cylinder piston rod retracts during the process of gripper insertion into the substrate to achieve the grasping action.[38]
Single cylinderAciculiform4The crank slider mechanism is used to drive the gripper, and the end effector can realize two working modes of oblique insertion and clamping.[70]
Double cylinder and air sacAciculiform4Two cylinders with a certain angle are used to drive gripper insertion into the substrate obliquely. The airbag between the two cylinders and the tightening spring are used to realize the clamping and opening of the gripper.[68]
Oblique plug-in typeSingle cylinderSpade shape4The finger shovel is driven by the air cylinder and inserted along the four walls of the hole to reduce the damage to the seedling mound. By adding blocks, the substrate on the shovel is removed during the shovel recovery.[57]
Single cylinderAciculiform4Using a single cylinder and the guide groove mechanism to realize oblique insertion action of the gripper.[54]
Linear effectorAciculiform4Using electric push rod and the connecting rod mechanism to drive gripper insertion into the substrate.[53]
Single cylinderSpade shape4Using one cylinder completes the extension and retraction action of four groups of seedling spades.[72]
Deformation sliding needle typeDouble cylinderAciculiform4The large cylinder drives the small cylinder and the needle fixing plate to move downward together. Then, the small cylinder pushes the needle fixing plate to move downward to realize the clamping action.[73]
Single cylinderAciculiform4The single cylinder pushes four flexible needles through four oblique guide tubes to grasp the seedling substrate.[77]
Servo motorAciculiform4When picking up seedlings, the four sliding needles extend out of the guide tube and are inserted obliquely into the hole to hold the seedling substrate.[76]
Single cylinderAciculiform4With the pushing force of the seedling claw control cylinder, the gripping action is achieved by the deformation of the seedling needles.[75]

3.3. Integration for Multiple End Effectors

In order to improve the efficiency of transplanters, multiple end effectors are usually integrated to realize the grasping of multiple plants or entire rows of seedlings with just a single movement of the manipulator. According to different structures, the integration methods can be divided into the expanding and contracting board type, parallelogram mechanism, rope connection type, cam type, independent control type, etc.
The expanding and contracting board type is simple in structure and control; according to actual needs, the board can be arranged horizontally [78] or vertically [79], but this structure is heavy, which limits the action speed of the system [80]. The parallelogram mechanism type is a lightweight spacing adjustable mechanism for integrating multiple end effectors [81]. This mechanism is capable of achieving precise separation of all end effectors with minimal stroke [37].
In cases where the closing and opening distances between the multiple end effectors are fixed, a simpler method is to use a soft belt [77] or steel wire [82] to connect adjacent end effectors. As the soft belt or steel wire rope are flexible bodies with certain elasticity, they can play a buffering role in the process of distance change. Tong [77] used a cylinder to make the grippers expand and close. However, these methods are limited to a single specification of the tray; the length of the soft belt or steel wire must be readjusted if the tray specification changes. The cylindrical cam [83] mechanism can also be used for adjusting the distance for multiple end effectors, but this kind of structure requires high machining and installation accuracy.
The above mechanisms are simple in structure and easy to control, but they can only realize the equidistant expansion and closing of multiple end effectors, and most of these can only be suitable for one kind of tray. If those kinds of mechanisms need to be applied to other hole spacings, the spacing between end effectors needs to be readjusted manually. In order to improve the versatility of the transplanter, many transplanter manufacturers have designed independent servo-driven end effectors, which can realize the adjustment of any distance between the end effectors.
The FlexPlanter and PackPlanter series transplanters produced by the TTA company employ independently controlled electric motors to drive the end effectors, which mesh with laterally arranged racks to achieve translational motion. The RW series transplanter produced by Urbinati also uses an independent motor to drive the end effector, only changing the transmission mechanism from gear rack to synchronous wheel and synchronous belt transmission. Feng et al. [40,84] have also developed a transplanter integrated with an end effector driven independently by synchronous wheel and synchronous belt.

3.4. Transplanting Manipulator

The function of a transplanting manipulator is to drive the end effector to move back and forth between the supply and target tray. There are four types of commonly used transplanting manipulators, including serial industrial robots, four-axis SCARA robots, parallel robots, and Cartesian coordinate manipulators. Table 5 summarizes the unique characteristics of transplanters with different structures.

3.4.1. Series Industrial Manipulators

The earliest research on transplanters was generally based on industrial robotic arms [85], such as the Puma560 industrial robot [15] and the ABB robot [18]. These initial studies demonstrated the feasibility of using industrial robots for tray seedling transplanting operations, but they did not conduct practical application research. However, in recent years, there have been increased applications of industrial robot transplanters in vegetable production practice. For example, the Danish BEKIDAN company designed a flower grading transplanting system based on the DENSO six-axis industrial robot. Additionally, the Dutch horticultural production solution provider CODEMA company developed a transplant robot workstation using the KUKA robot, and the FANUC robot, equipped with a multiple end effectors’ manipulator. Serial industrial robots provide a simple and space-efficient option for factory layout and installation, but they are more expensive.

3.4.2. SCARA Manipulator

The SCARA manipulator has become a popular choice for transplanting operations due to its compact structure, high speed, and high loads. Several researchers and companies have developed transplanting solutions using SCARA robots. Appropriate loads for SCARA robotic arms can be selected according to the requirements of transplanting operations, and they can be equipped with single [16,17], or multiple end effectors. However, SCARA robots typically have only four degrees of freedom, which limits their range of motion. To increase the motion range of the SCARA robot in transplantation operations, it is possible to install the robot on a linear module [86].

3.4.3. Parallel Manipulator

Parallel manipulators are known for their high rigidity and high speed. By using a two-degree-of-freedom parallel manipulator in combination with a conveyor, transplantation operations can be realized [87,88]. However, three-degree-of-freedom parallel manipulators are more commonly used [89]. The Italian Otechmek company, and Canadian CMP Automation Company [90], have both developed transplanting machines based on parallel manipulators. Due to the low load-bearing capacity of parallel manipulators, they are usually equipped with only a single end effector, which limits the efficiency of the entire transplantation operation.

3.4.4. Cartesian Coordinate Manipulator

The Cartesian coordinate manipulators have a simple and intuitive coordinate system, which makes them easy to program and operate. They are rigid and stable, which makes them suitable for heavy loads and high-speed operations. Therefore, this structure is often preferred in transplanters for vegetable seedlings. In Cartesian coordinate manipulators, there are two types of configurations available: two degrees of freedom and three degrees of freedom. In early research, the two-degree-of-freedom Cartesian coordinate manipulator was commonly used [19,20] due to its low cost and simple structure. However, the transplanters based on a three-degree-of-freedom Cartesian coordinate manipulator have a large workspace [40,91], as they can move in all three axes (x, y, z).
Due to the high load-bearing capacity of transplanters based on Cartesian coordinate manipulators, these machines are typically equipped with multiple end effectors to enhance operational efficiency. In this type of transplanter structure, there are various installation forms of end effectors according to the actual operational requirements, such as fixed installation and adjustable spacing installation. With fixed installation, multiple end effectors are closely adjacent to each other, and the spacing between them cannot be adjusted. The position of the end effectors must be adjusted by the translational axis of the Cartesian coordinate manipulator, which drives all the end effectors to move as a whole. Examples of such fixed installation end effectors include combifix II from the TTA company (TTA, Bleskensgraaf, The Netherlands) and Vision Planter from the ISO Group company (ISO-Horti Innovators, Gameren, The Netherlands). For the adjustable spacing installation, independent servo motors are typically used to drive the end effectors, such as the Pic-O-Mat Blueline, from the Viscon company (Viscon Group, Gravendeel, The Netherlands), and TEA 600N, from the Hamilton Design & TEA Project Company (Hamilton Design USA, Burton, OH, USA). When the end effectors can be driven independently, numerous cables or air pipes usually need to be arranged, such as the SPH-Transplanter, from the Flier Systems Company (Flier Systems, Barendrecht, The Netherlands), and the PlugPlanter S Model, from the Bouldin & Lawson company (Bouldin and Lawson, LLC, McMinnville, TN, USA). However, too many cables and organs can easily become entangled, leading to failures. In order to solve this problem, wireless end effectors have been developed, such as the PackPlanter Wireless transplanter, and the RW64 greenhouse transplanter, from the Italian Urbinati Company (Urbinati S.r.l., San Mauro Pascoli, Italy).
It can be observed that horticultural equipment manufacturing and solution providers around the world rely on their industrial base, and advanced technologies, such as machine vision, servo drive, and human machine interface (HMI), have developed various forms and functions of transplanters based on rectangular coordinate manipulators, which are widely used in facility horticulture. However, this large-scale transplanting equipment requires specialized hole trays, top seedling devices, etc., and its high cost hinders its promotion and application in small-scale facility agricultural environments. We summarize the key performance parameters of the commercial transplanters from various countries, as shown in Table 6.

3.5. Growth Status Identification for Seedlings

Among the four types of transplanting operations, the widening-spacing, as shown in Figure 1b, and grading transplanting, as shown in Figure 1c, both require identification of the growth status of seedlings. The system for recognizing healthy seedlings is summarized in Table 7.
Leaf area is one of the most suitable characteristics of seedlings used in evaluating quality. Researchers have studied the use of machine vision technology in the measurement of the leaf area [92]. Generally, the leaf images are obtained by a monocular CCD camera, and the leaf area is obtained using a threshold segmentation method [92,93,94]. Leaf color, leaf number, and plant height [95] can also serve as parameters for evaluating the growth of plug tray seedlings. The plant height data can be obtained using a line laser [94,95] or depth camera [96,97].
The feature extraction of seedling characteristics in the above methods is based on traditional machine vision morphological methods. Such methods are greatly affected by image background, lighting, and shadow of occlusion, and the stability of recognition performance is not ideal [98,99]. With the development of computer power and deep neural networks, the image recognition technology based on convolutional neural networks [100,101] has been increasingly applied in the identification of healthy seedlings for transplanting machines.
By using binocular vision [102] or depth cameras [97,103,104] to obtain point clouds of seedlings, three-dimensional reconstruction techniques can be employed to obtain the three-dimensional model of the seedlings. This method can provide more growth information, thereby improving the accuracy of identification and grading for plug tray seedlings.
Table 7. Vision identification systems.
Table 7. Vision identification systems.
ReferenceMethodCamera ModelResolutionLight SourceCollected InformationAlgorithmPerformance
[94]Monocular CCD camera, line laser----650 nm wavelength red light source line laserLeaf area and plant heightThresholding and linear structured light 3D location algorithmPlant height accuracy is 5 mm.
[92]Monocular CCD cameraPU LNIX TMC-7DSP640 × 4806 fluorescent lamps (380–780 nm), 40 WLeaf areaImproved watershed algorithm and threshold segmentationThe recognition accuracy is 98%, and the average recognition time of a disc of seedlings is 4.396 s.
[95]Monocular CCD camera, line laserPULNiX TM-7CN768 × 484770–790 nm laser, 2 quartz halogen light sources, 300 WLeaf area and plant heightTemplate matching and line structured light 3D positioning algorithmThe accuracy of hole identification is 95%.
[93]Monocular cameraPulnix TM-745--2 tungsten filament lamps, 120 WLeaf areaOtus adaptive threshold segmentation--
[19]Monocular CCD cameraCCD----Leaf areaThreshold segmentation--
[105,106]Monocular cameraJoinHope Image OK-AC1300--Four F40BX/480 fluorescent lamps, 36 WSide view of seedlings at 0 and 90 positions (upright degree and plant height)Threshold segmentationEach image processing algorithm takes 0.35 s on average.
[102]3D stereo positioning with binocular visionDaHeng Image DH-GV400UC752 × 480--Top view of hole seedlingSIFT feature matching algorithmThe three-dimensional reconstruction image of the original acupoint plate is obtained.
[107] Monocular cameraEpson Inc. GT800512 × 512--Seedling hole area and total areaThree-layer neural network algorithm--
[108]Monocular cameraJHSM300E3 megapixel--Top view of hole seedlingThreshold segmentationThe accuracy of hole identification is 100%.
[97]Depth cameraIntel RealSense SR300 depth sensor640 × 480
--Seedling depth imagePoint cloud clustering algorithmThe identification accuracy is 96.59% for 105-hole disc of seedlings with 10 days growth time.
[109]Monocular CCD cameraPU LNIX TMC-7DSP640 × 480Six F40BX/480 fluorescent lamps, 36 WLeaf area and blade circumferenceImproved watershed algorithm and threshold segmentationThe identification accuracy of inferior seedlings is above 98%.
[96]Depth cameraRealsense D4151280 × 72030 mm × 90 mm kM-BRD7530 LEDSeedlings’ height and edge pointsExG algorithmImage processing average time is 0.753 s.
[110]Monocular CCD cameraDaHeng MER-131-75GC1280 × 1024Lemons OPT-L133037-WPlug seedlings, plug bodies, and stem leavesThreshold segmentation, morphological processing--

3.6. Path Planning Methods

The transplanting operation of plug tray seedlings requires the manipulator to move back and forth between the supply tray and the target tray. The length of the manipulator’s moving path is different with different moving strategies, which affects the operation efficiency of the transplanter.
In the path planning methods of the transplanter, the simplest kind is the fixed order method, such as the far-to-near, near-to-far, or snake-like trajectory [111], where the sequence of seedling selection is fixed, and real-time calculation of the path is not required, but the path distance is generally longer, and the efficiency is lower. Other methods are based on common optimization algorithms, such as the ant colony algorithm [112], genetic algorithm [113], greedy algorithm, etc. Some scholars have also combined and improved several algorithms [114] for trajectory planning. The trajectory planning methods based on optimization algorithms can optimize the path distances, but they take a longer time. Therefore, it is recommended to use optimization algorithms for transplanter trajectory planning after comparison with the fixed order methods.
Overall, the path planning strategy for vegetable seedling transplanting should consider the tray layout, space availability, and operation efficiency. By carefully planning the manipulator’s track, the transplanter can improve the efficiency of the transplanting operation and reduce energy costs.

4. Discussion

4.1. Summary of Current Problems

By comparing the research status of plug tray seedling transplanters in different countries and regions, significant disparities in the technological level and application of transplanting machines can be observed. The significant gaps between developed and developing countries can be attributed to several factors, such as economic resources, infrastructure and agricultural development, technological knowledge level, policy and government support. Based on the above reasons, there are differences in the production scale, planting mode, planting density, hardware configuration, and other aspects of protected agriculture in different countries and regions. Transplanters have limitations in intelligence, applicability, and universality. In order to promote better application of transplanters in various protected agricultural conditions, the following problems need to be resolved in future research:
  • Limited standardization and compatibility. In protected agriculture, variations exist in the dimensions of seedbeds, planting densities, and tray specifications utilized by different regions and growers. Furthermore, there is a wide range of seedling substrate compositions and proportions employed. Manual seeding predominates, leading to inconsistencies in seedling position. Additionally, the timing of transplanting operations is not standardized. All these differences in the production modes of vegetables have led to the poor practicability of transplanters. Therefore, it is necessary to standardize the production mode by unifying the supporting planting equipment and planting agronomy, combining agronomy with equipment, so as to reduce the complexity of transplanting equipment development.
  • Insufficient intelligence and automation. The existing transplanting machines have made some progress in terms of intelligence, but there is still room for improvement. Some aspects include sensing and perception, decision making and control, adaptability, learning, and human–machine interaction. With the development of artificial intelligence technology, we can develop a plant growth status recognition system based on deep learning and three-dimensional reconstruction technology, conduct research on motion control algorithms of multiple grippers to improve the transplanting efficiency, and use the internet of things (IoT) technology to develop remote monitoring functions for transplanters.
  • Limited adaptability to diverse agricultural environments. Transplanting machines often face challenges in adapting to the wide range of agricultural environments found in different regions and countries. Variations in climate, soil conditions, crop varieties, and planting practices necessitate flexible and adaptable machines. Currently, there is a lack of transplanting machines, which can easily accommodate these variations, resulting in suboptimal performance and reduced efficiency. Future research should focus on developing transplanting machines, which can be easily customized and configured to suit different agricultural environments, ensuring optimal transplanting outcomes.
  • Cost effectiveness and affordability. The high cost of transplanting machines is a significant barrier to their widespread adoption, particularly in developing countries and small-scale farming operations. The extensive equipment sets and specialized components required for transplanting machines contribute to their high procurement and maintenance costs. To encourage broader adoption, research efforts should concentrate on developing cost-effective solutions, including the use of affordable materials, streamlined designs, and modular components. By reducing the overall cost of transplanting machines, their accessibility and affordability can be enhanced, facilitating their integration into diverse agricultural systems.

4.2. Research Focus and Development Trend

Considering the aforementioned issues associated with transplanters in protected agriculture, the following research directions are recommended to be prioritized for further investigation:
  • Integration of advanced sensing technologies. One of the prominent trends in transplanting machine research is the integration of advanced sensing technologies. This includes the incorporation of diverse sensors, such as cameras, 3D scanners, lidar, thermal imagers, and hyperspectral sensors. These sensors enable precise and comprehensive data acquisition, facilitating a deeper understanding of both the crop and the surrounding environment. By integrating data from multiple sensors, transplanting machines can enhance their perception capabilities, enabling real-time monitoring and analysis of crucial parameters, such as soil moisture, plant health, and environmental conditions.
  • Development of intelligent decision-making algorithms. Another key focus in transplanting machine research is the development of intelligent decision-making algorithms. Machine-learning techniques, such as deep learning, can be applied to analyze the collected data and extract meaningful insights. These algorithms enable transplanting machines to make informed decisions based on real-time information, optimizing transplanting strategies and enhancing overall efficiency. Additionally, the integration of artificial intelligence and machine vision technologies allows for automated detection and classification of seedlings, improving the accuracy and precision of transplanting operations.
  • Advancements in robotics and automation. The advancement of robotics and automation technologies plays a significant role in the evolution of transplanting machines. Researchers are exploring the development of robotic systems with improved dexterity, allowing for more precise and efficient handling of seedlings. Automation features, such as autonomous navigation, adaptive grasping, and coordinated multi-robot systems, are being investigated to enhance the performance and productivity of transplanting machines. These advancements aim to reduce the reliance on human labor, increase operational efficiency, and minimize human errors.
  • Compact and lightweight technology for transplanting machines. The development of compact and lightweight technology for transplanting machines offers a promising solution to address the challenges related to the adaptability and cost effectiveness of large-scale equipment. By adopting smaller and more flexible transplanter systems, greater versatility can be achieved, allowing for tailored configurations and programming specific to different crop types and environmental conditions. The utilization of finite element analysis techniques enables the optimization of structural design for transplanting machine components, while incorporating lightweight materials in the manufacturing process enhances overall performance. Furthermore, the downsizing of equipment also contributes to cost reduction. Integrating cost reduction into this discussion, the development of compact and lightweight transplanting machines not only enhances adaptability but also improves cost effectiveness, making them more accessible to a wider range of users.

5. Conclusions

This review highlights the existing gaps and challenges in the applicability of current transplanters to diverse protected agricultural environments. To address these issues, the development of compact general-purpose transplanters is recommended to promote their widespread adoption in various protected agricultural settings. However, the variations in planting modes and hardware configurations of plug seedlings present a significant challenge in achieving compact universal transplanters.
As agricultural labor declines and protected agriculture continues to advance, the mechanization and automation of protected agriculture production become inevitable. To overcome the associated difficulties and challenges, it is crucial to closely monitor technological advancements in the industry and develop unified standards for protected agriculture planting. A collaborative approach involving experts from diverse disciplines, particularly engineers and researchers specializing in protected agriculture planting, is essential. By fostering the synergistic integration of agricultural mechanization and agronomic principles, alongside the standardization of protected vegetable cultivation, the widespread adoption and utilization of automated plug tray seedling transplanting equipment can be effectively facilitated. This transformation holds the potential to enhance the applicability and efficacy of transplanting machines in protected agriculture, resulting in improved efficiency and cost reduction. It requires continuous research and development efforts to address the specific needs and challenges of different agricultural environments. Furthermore, interdisciplinary collaborations and knowledge exchange are vital for driving innovation and advancing the field of transplanting machine technology. By leveraging these strategies, the vision of efficient and sustainable protected agriculture can be realized, contributing to the growth and development of modern agricultural practices.

Author Contributions

W.L., Conceptualization, Investigation, Writing—original draft, Visualization; S.T., Writing—review and editing; Q.W., Writing—review and editing; H.J., Conceptualization, Supervision, Project administration, Writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Science and Technology Program of Zhejiang Province, grant No. 2022C02026 and No. 2022C02039, China.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Buturi, C.V.; Mauro, R.P.; Fogliano, V.; Leonardi, C.; Giuffrida, F. Mineral Biofortification of Vegetables as a Tool to Improve Human Diet. Foods 2021, 10, 223. [Google Scholar] [CrossRef] [PubMed]
  2. Ali, A.; Ghani, M.I.; Haiyan, D.; Iqbal, M.; Cheng, Z.; Cai, Z. Garlic Substrate Induces Cucumber Growth Development and Decreases Fusarium Wilt through Regulation of Soil Microbial Community Structure and Diversity in Replanted Disturbed Soil. Int. J. Mol. Sci. 2020, 21, 6008. [Google Scholar] [CrossRef] [PubMed]
  3. Guo, D.; Juan, J.; Chang, L.; Zhang, J.; Huang, D. Discrimination of Plant Root Zone Water Status in Greenhouse Production Based on Phenotyping and Machine Learning Techniques. Sci. Rep. 2017, 7, 8303. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  4. Kang, M.H.; Jeon, S.S.; Shin, S.M.; Veerana, M.; Ji, S.-H.; Uhm, H.-S.; Choi, E.-H.; Shin, J.H.; Park, G. Dynamics of Nitric Oxide Level in Liquids Treated with Microwave Plasma-Generated Gas and Their Effects on Spinach Development. Sci. Rep. 2019, 9, 1011. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Maher, A.; Kamel, E.; Enrico, F.; Atif, I.; Abdelkader, M. An Intelligent System for the Climate Control and Energy Savings in Agricultural Greenhouses. Energy Effic. 2016, 9, 1241–1255. [Google Scholar] [CrossRef]
  6. Shi, X.; An, X.; Zhao, Q.; Liu, H.; Xia, L.; Sun, X.; Guo, Y. State-of-the-Art Internet of Things in Protected Agriculture. Sensors 2019, 19, 1833. [Google Scholar] [CrossRef] [Green Version]
  7. Hiwasa-Tanase, K.; Ezura, H. Molecular Breeding to Create Optimized Crops: From Genetic Manipulation to Potential Applications in Plant Factories. Front. Plant Sci. 2016, 7, 539. [Google Scholar] [CrossRef] [Green Version]
  8. Li, J.; Wu, T.; Huang, K.; Liu, Y.; Liu, M.; Wang, J. Effect of LED Spectrum on the Quality and Nitrogen Metabolism of Lettuce Under Recycled Hydroponics. Front. Plant Sci. 2021, 12, 678197. [Google Scholar] [CrossRef]
  9. Patil, J.A.; Yadav, S.; Kumar, A. Management of Root-Knot Nematode, Meloidogyne Incognita and Soil Borne Fungus, Fusarium Oxysporum in Cucumber Using Three Bioagents under Polyhouse Conditions. Saudi J. Biol. Sci. 2021, 28, 7006–7011. [Google Scholar] [CrossRef]
  10. Viršilė, A.; Brazaitytė, A.; Vaštakaitė-Kairienė, V.; Miliauskienė, J.; Jankauskienė, J.; Novičkovas, A.; Laužikė, K.; Samuolienė, G. The Distinct Impact of Multi-Color LED Light on Nitrate, Amino Acid, Soluble Sugar and Organic Acid Contents in Red and Green Leaf Lettuce Cultivated in Controlled Environment. Food Chem. 2020, 310, 125799. [Google Scholar] [CrossRef]
  11. Zou, T.; Huang, C.; Wu, P.; Ge, L.; Xu, Y. Optimization of Artificial Light for Spinach Growth in Plant Factory Based on Orthogonal Test. Plants 2020, 9, 490. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Hanafi, A.; Papasolomontos, A. Integrated Production and Protection under Protected Cultivation in the Mediterranean Region. Biotechnol. Adv. 1999, 17, 183–203. [Google Scholar] [CrossRef] [PubMed]
  13. Tong, J.; Qiu, Z.; Zhou, H.; Bashir, M.K.; Yu, G.; Wu, C.; Du, X. Optimizing the Path of Seedling Transplanting with Multi-End Effectors by Using an Improved Greedy Annealing Algorithm. Comput. Electron. Agric. 2022, 201, 107276. [Google Scholar] [CrossRef]
  14. Tian, Z.; Ma, W.; Yang, Q.; Yao, S.; Guo, X.; Duan, F. Design and Experiment of Gripper for Greenhouse Plug Seedling Transplanting Based on EDM. Agronomy 2022, 12, 1487. [Google Scholar] [CrossRef]
  15. Kutz, L.J.; Miles, G.E.; Hammer, P.A.; Krutz, G.W. Robotic Transplanting of Bedding Plants. Trans. Asae 1987, 30, 586–590. [Google Scholar] [CrossRef]
  16. Tmg, K.C.; Giacomelli, G.A.; Shen, S.J. Robot Workcell for Transplanting of Seedlings Part I—Layout and Materials Flow. Trans. Asae 1990, 33, 1005–1010. [Google Scholar] [CrossRef]
  17. Ting, K.C.; Giacomelli, G.A.; Shen, S.J.; Kabala, W.P. Robot Workcell for Transplanting of Seedlings. Part II. End-Effector Development. Trans. Asae 1990, 33, 1013–1017. [Google Scholar] [CrossRef]
  18. Hůla, P.; Šindelář, R.; Trinkl, A. Verification of Applicability of ABB Robots for Trans-Planting Seedlings in Greenhouses. Res. Agric. Eng. 2008, 54, 155–162. [Google Scholar] [CrossRef] [Green Version]
  19. Ryu, K.H.; Kim, G.; Han, J.S. AE—Automation and Emerging Technologies. J. Agric. Eng. Res. 2001, 78, 141–146. [Google Scholar] [CrossRef]
  20. Kang, D.H.; Kim, D.E.; Lee, G.I.; Kim, Y.H.; Min, Y.B. Development of a Vegetable Transplanting Robot. J. Biosyst. Eng. 2012, 37, 201–208. [Google Scholar] [CrossRef] [Green Version]
  21. Onosaka, T.; Okuno, K.; Uchida, K.; Buno, S.; Yamada, H. Transplanter. U.S. Patent 5842306A, 22 May 1996. [Google Scholar]
  22. Kubota IKP-4 Vegetable Tranplanter. Available online: https://www.kubota.com.cn/kams/productlist.do?method=list&&modelCodeNow=104 (accessed on 15 July 2023).
  23. Yanmar PF2R Vegetable Tranplanter. Available online: https://www.yanmar-china.com/cn/agri/products/vegetable_replant/pf2r/ (accessed on 15 July 2023).
  24. GFM Planting. Available online: https://www.gfm.co.jp/product/detail/gfm_planting.html (accessed on 15 July 2023).
  25. GFM Transplanter. Available online: https://www.gfm.co.jp/product/detail/gfm_transplant.html (accessed on 15 July 2023).
  26. Transplanting Machines for Young Plants. Available online: https://viscongroup.eu/machines/transplanting-machines/ (accessed on 11 February 2023).
  27. TTA Offers a Wide Range of Transplanting Equipment. Available online: https://www.tta.eu/equipment/transplanting (accessed on 12 February 2023).
  28. Flier Systems Helps Ambitious Growers Flourish—Flier Systems. Available online: https://fliersystems.com/en/ (accessed on 12 February 2023).
  29. Machines—ISO Group Agri Systems BV. Available online: https://www.iso-group.nl/en/machines (accessed on 12 February 2023).
  30. Codema Systems Group. Available online: https://vimeo.com/codemasystems (accessed on 12 February 2023).
  31. Transplanting—Nurseries Transplanting Machines. Available online: https://www.urbinati.com/en/applications/transplanting-machines-plant-nursery/ (accessed on 12 February 2023).
  32. Teaproject. Available online: http://www.teaproject.it/transplanters.htm (accessed on 12 February 2023).
  33. Transplanting Systems—Agrinomix. Available online: https://agrinomix.com/transplanting-systems/ (accessed on 12 February 2023).
  34. PlugPlanter S Model—Bouldin & Lawson. Available online: https://bouldinlawson.com/plugplantersmodel/ (accessed on 12 February 2023).
  35. Demtec Dempic III. Available online: https://www.transplantsystems.co.nz/products/dempic/ (accessed on 12 February 2023).
  36. Tian, Z.; Ma, W.; Yang, Q.; Yao, S.; Zhang, M.; Duan, F.; Xu, H. Research Status and Problem Analysis of Plug Seedling Transplanter in Greenhouse. J. China Agric. Univ. 2022, 27, 22–38. [Google Scholar] [CrossRef]
  37. Yang, Q.; Xu, L.; Shi, X.; Ibrar, A.; Mao, H.; Hu, J.; Han, L. Design of Seedlings Separation Device with Reciprocating Movement Seedling Cups and Its Controlling System of the Full-Automatic Plug Seedling Transplanter. Comput. Electron. Agric. 2018, 147, 131–145. [Google Scholar] [CrossRef]
  38. Mao, H.; Liu, Y.; Han, L.; Sheng, B.; Ma, G.; Li, Y. X-ray Computerized Tomography for Characterization of Pick-up Destruction and Pick-up Parameter Optimization of Tomato Root Lumps. Span. J. Agric. Res. 2019, 17, e0202. [Google Scholar] [CrossRef] [Green Version]
  39. Han, L.; Kumi, F.; Mao, H.; Hu, J. Design and Tests of a Multi-Pin Flexible Seedling Pick-up Gripper for Automatic Transplanting. Appl. Eng. Agric. 2019, 35, 949–957. [Google Scholar] [CrossRef]
  40. Feng, Q.; Xiu, W.; Zhao, C.; Kai, J.; Fan, P. Design and Test of Tray-Seedling Sorting Transplanter. Biol. Eng. 2015, 8, 7. [Google Scholar] [CrossRef]
  41. Zhao, S.; Lei, X.; Liu, J.; Jin, Y.; Bai, Z.; Yi, Z.; Liu, J. Transient Multi-Indicator Detection for Seedling Sorting in High-Speed Transplanting Based on a Lightweight Model. Comput. Electron. Agric. 2023, 211, 107996. [Google Scholar] [CrossRef]
  42. Khadatkar, A.; Pandirwar, A.P.; Paradkar, V. Design, Development and Application of a Compact Robotic Transplanter with Automatic Seedling Picking Mechanism for Plug-Type Seedlings. Sci. Rep. 2023, 13, 1883. [Google Scholar] [CrossRef]
  43. Khadatkar, A.; Mathur, S.M. Design and Development of an Automatic Vegetable Transplanter Using a Novel Rotating Finger Device with Push-Type Mechanism for Plug Seedlings. Int. J. Veg. Sci. 2022, 28, 121–131. [Google Scholar] [CrossRef]
  44. Dihingia, P.C.; Prasanna Kumar, G.V.; Sarma, P.K. Development of a Hopper-Type Planting Device for a Walk-Behind Hand-Tractor-Powered Vegetable Transplanter. J. Biosyst. Eng. 2016, 41, 21–33. [Google Scholar] [CrossRef] [Green Version]
  45. Miah, M.S.; Rahman, M.M.; Hoque, M.A.; Ibrahim, S.M.; Sultan, M.; Shamshiri, R.R.; Ucgul, M.; Hasan, M.; Barna, T.N. Design and Evaluation of a Power Tiller Vegetable Seedling Transplanter with Dibbler and Furrow Type. Heliyon 2023, 9, e17827. [Google Scholar] [CrossRef]
  46. Jorg, O.J.; Sportelli, M.; Fontanelli, M.; Frasconi, C.; Raffaelli, M.; Fantoni, G. Design, Development and Testing of Feeding Grippers for Vegetable Plug Transplanters. AgriEngineering 2021, 3, 669–680. [Google Scholar] [CrossRef]
  47. Pei, D.; Meng, F.; Wang, H. Research Progress of Visual Inspection of Tray Seedling and the System of Automatic Transplanting. Int. J. Multimed. Ubiquitous Eng. 2016, 11, 57–68. [Google Scholar] [CrossRef]
  48. Wen, Y.; Zhang, J.; Yuan, T.; Tan, Y. Current Situation and Analysis of Automatic Pick-up Technology for Vegetable Plug Seedlings. J. China Agric. Univ. 2021, 26, 128–142. [Google Scholar] [CrossRef]
  49. Liu, W.; Liu, J. Review of End-Effectors in Tray Seedlings Transplanting Robot. J. Agric. Mech. Res. 2013, 35, 6–10. [Google Scholar] [CrossRef]
  50. Wang, N.; Ren, L.; Li, J.; Hu, H.; Wang, B.; Shang, J. Research Status and Prospect of Automatic Seedling Picking Technology of Transplanter. J. Chin. Agric. Mech. 2021, 42, 59–66. [Google Scholar] [CrossRef]
  51. Chen, D. Summary of Foreign and Domestic Vegetable Corps Plug Transplants Production. China Veg. 2000, 1, 9–13. [Google Scholar] [CrossRef]
  52. Mohamed, S.; Liu, J. Effect of Soil Moisture Content and End-Effector Speed on Pick-up Force and Lump Damage for Seedling Transplanting. AgriEngineering 2019, 1, 343–356. [Google Scholar] [CrossRef] [Green Version]
  53. Liu, J.; Li, M.; Li, N.; Li, P.; Zhao, M.; Yue, W. Design and Test of End-Effector for Automatic Transplanting of Strawberry Plug Seedlings. Trans. Chin. Soc. Agric. Mach. 2016, 47, 49–58. [Google Scholar] [CrossRef]
  54. Gao, G.H.; Feng, T.; Li, F. Working Parameters Optimization and Experimental Verification of Inclined-Inserting Transplanting Manipulator for Plug Seedling. Trans. Chin. Soc. Agric. Eng. 2015, 31, 16–22. [Google Scholar] [CrossRef]
  55. Tong, J.; Jiang, H.; Jiang, Z.; Cui, D. Experiment on Parameter Optimization of Gripper Needles Clamping Seedling Plug for Automatic Transplanter. Trans. Chin. Soc. Agric. Eng. 2014, 30, 8–16. [Google Scholar] [CrossRef]
  56. Wang, M.; Song, J.; Liu, C.; Wang, Y.; Sun, Y. Design and Experiment of Crank Rocker Type Clamp Seedlings Mechanism of Vegetable Transplanter. Trans. Chin. Soc. Agric. Eng. 2015, 31, 49–57. [Google Scholar] [CrossRef]
  57. Tong, J.; Shi, H.; Wu, C.; Ding, Y.; Zhao, X.; Wang, R. Simulation and Test of Seedling Pot Grabbing by Spade End-Effector. Trans. Chin. Soc. Agric. Mach. 2019, 50, 107–116. [Google Scholar] [CrossRef]
  58. Miao, X.; Mao, H.; Han, L.; Sun, H.; Yang, X.; Huang, H. Analysis of Influencing Factors on Force of Picking Plug Seedlings and Pressure Resistance of Plug Seedlings. Trans. Chin. Soc. Agric. Mach. 2013, 44, 27–32. [Google Scholar] [CrossRef]
  59. Han, L.; Mao, H.; Hu, J.; Miao, X.; Tian, K.; Yang, X. Experiment on Mechanical Property of Seedling Pot for Automatic Transplanter. Trans. Chin. Soc. Agric. Eng. 2013, 29, 24–29. [Google Scholar]
  60. Han, L.; Zhao, Z.; Ma, G.; Ye, M.; Mao, H.; Hu, J. Compression-Force Relaxation Characteristics of Vegetable Pot. Jiangsu Agric. Sci. 2018, 46, 271–274. [Google Scholar] [CrossRef]
  61. Wang, C.; Liu, C.; Li, Y.; Song, J.; Wang, J.; Dong, X. Design and Experiment of Pneumatic Punching High-Speed Seedling Picking Device for Vegetable Transplanter. Trans. Chin. Soc. Agric. Mach. 2021, 52, 35–43+51. [Google Scholar] [CrossRef]
  62. Hu, J.; Pan, J.; Chen, F.; Yue, R.; Yao, M.; Li, J. Simulation Optimization and Experiment of Finger-Clamping Seedling Picking Claw Based on EDEM-RecurDyn. Trans. Chin. Soc. Agric. Mach. 2022, 53, 75–85+301. [Google Scholar] [CrossRef]
  63. Sun, G.; Wang, X.; He, G.; Zhou, T.; Wang, C.; Qiao, X. Design of the End-Effector for Plug Seedlings Transplanter and Analysis on Virtual Prototype. Trans. Chin. Soc. Agric. Mach. 2010, 41, 48–53+47. [Google Scholar]
  64. Tracy, S.R.; Black, C.R.; Roberts, J.A.; Sturrock, C.; Mairhofer, S.; Craigon, J.; Mooney, S.J. Quantifying the Impact of Soil Compaction on Root System Architecture in Tomato (Solanum Lycopersicum) by X-Ray Micro-Computed Tomography. Ann. Bot. 2012, 110, 511–519. [Google Scholar] [CrossRef] [Green Version]
  65. Liu, Y.; Mao, H.; Han, L.; Xu, J.; Ma, G.; Li, Y. Plug Damage Detection and Parameter Optimization of Picking up Cucumber Seedlings from Tray Cells Based on Micro-CT. Trans. Chin. Soc. Agric. Eng. 2018, 34, 27–34. [Google Scholar] [CrossRef]
  66. Han, L.; Mo, M.; Gao, Y.; Ma, H.; Xiang, D.; Ma, G.; Mao, H. Effects of New Compounds into Substrates on Seedling Qualities for Efficient Transplanting. Agronomy 2022, 12, 983. [Google Scholar] [CrossRef]
  67. Gao, G.H.; Yang, H.; Wei, K.C. Simulation and Optimization Design of the Transplanting Manipulator. Adv. Mater. Res. 2013, 712, 2308–2311. [Google Scholar] [CrossRef]
  68. Han, L.; Mao, H.; Yan, L.; Hu, J.; Huang, W.; Huang, L. Pincette-Type End-Effector Using Two Fingers and Four Pins for Picking Up Seedlings. Trans. Chin. Soc. Agric. Mach. 2015, 46, 23–30. [Google Scholar] [CrossRef]
  69. Jiang, Z.; Jiang, H.; Tong, J. Optimal Design of End-Effector on Automatic Plug Seedling Transplanter. J. Zhejiang Univ. Sci. 2017, 51, 1119–1125. [Google Scholar] [CrossRef]
  70. Vera, S.; Prado, S. Synthesis and Optimization of a Needles Robotic Gripper Mechanism for Transplanting Seedlings. In Proceedings of the 2020 IEEE Andescon, Quito, Ecuador, 13–16 October 2020; IEEE: Quito, Ecuador, 2020; pp. 1–6. [Google Scholar]
  71. Yang, Q.; Huang, G.; Shi, X.; He, M.; Ahmad, I.; Zhao, X.; Addy, M. Design of a Control System for a Mini-Automatic Transplanting Machine of Plug Seedling. Comput. Electron. Agric. 2020, 169, 105226. [Google Scholar] [CrossRef]
  72. Xu, G.; Xu, Y.; Zeng, J.; Cui, Y.; Zhao, Y.; Xiao, J.; Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences. End Actuator and Method for Removing and Repairing Seedlings in Plug Tray. CN Patent 202210033570.5, 2022. [Google Scholar]
  73. Gao, G.H.; Wei, K.C.; Yang, H.; Liu, Y. Optimization Design of Automatic Transplanting Machine Based on TRIZ. Adv. Mater. Res. 2013, 712, 2966–2969. [Google Scholar] [CrossRef]
  74. Arirang Culture Arirang Special—M60Ep239C02 Agricultural Smart Technology System in Korea. Available online: https://www.youtube.com/watch?v=GP3nJY3nDVI (accessed on 22 February 2023).
  75. Zhang, K.; Wu, H.; Wang, W.; Song, C.; Liu, X. Design and Experiment of Clamping Picking Seedling Mechanism for Tomato Transplanter. J. Agric. Mech. Res. 2020, 42, 64–68. [Google Scholar] [CrossRef]
  76. Tian, S.; Qiu, L.; Kondo, N.; Yuan, T. Development of Automatic Transplanter for Plug Seedling. IFAC Proc. Vol. 2010, 43, 79–82. [Google Scholar] [CrossRef]
  77. Tong, J.; Meng, Q.; Gu, S.; Wu, C.; Ma, K. Design and Experiment of High-Speed Sparse Transplanting Mechanism for Hydroponics Pot Seedlings in Greenhouses. Trans. Chin. Soc. Agric. Eng. 2021, 37, 1–9. [Google Scholar] [CrossRef]
  78. Yan, L.; Mao, H.; Han, L.; Hu, J.; Wang, L. Design Ang Test of Motion Control Device for Tray Seedings Multi-Endingtransplanter in Greenhouse. J. Agric. Mech. Res. 2017, 39, 83–87. [Google Scholar] [CrossRef]
  79. Zhu, C.; Li, W.; Gu, X.; Xie, D.; Li, C.; Zhang, Y. Analysis and Experiment of the Design and Test System of the Automatic Transplanting Equipment for Hole Plate Seedlings. Agric. Eng. Technol. 2021, 41, 23–29. [Google Scholar] [CrossRef]
  80. Zhao, S.; Liu, J.; Zhou, X. Design and Experiment of Portable Greenhouse Transplanting Machine. J. Agric. Mech. Res. 2020, 42, 51–57. [Google Scholar] [CrossRef]
  81. Assal, S.; Ndawula, I. Optimum Design and FEA of a Hybrid Parallel-Deployable Structure-Based 3-DOF Multi-Gripper Translational Robot for Field Pot Seedlings Transplanting; SCITEPRESS—Science and Technology Publications: Prague, Czech Republic, 2019; pp. 68–77. [Google Scholar]
  82. Zhao, X.; Yang, Q.; Huang, G.; Hao, M.; Mao, H. Design and Test of Picking Seedling Mechanism of Small Full-Automatic Transplanter for Plug Seedlings. J. Jiangsu Univ. Sci. Ed. 2022, 43, 54–61. [Google Scholar] [CrossRef]
  83. Cui, Y.; Wei, Y.; Ding, X.; Cui, G.; He, Z.; Wang, M. Design and Experiment of Adjustable Spacing End-Effector Based on Cylindrical Cam. Trans. Chin. Soc. Agric. Mach. 2022, 53, 104–114+122. [Google Scholar]
  84. Feng, Q.; Wang, X.; Jiang, K.; Zhou, J.; Zhang, R.; Ma, W. Design and Test of Key Parts on Automatic Transplanter for Flower Seedling. Trans. Chin. Soc. Agric. Eng. 2013, 29, 21–27. [Google Scholar]
  85. Hwang, H.; Sistler, F.E. A Robotic Pepper Transplanter. Appl. Eng. Agric. 1986, 2, 2–5. [Google Scholar] [CrossRef]
  86. Liu, J.; Zhou, X. Full-Automatic System of Integrated Sorting-Transplanting-Replanting and Operation Method for Plug Seedlings. U.S. Patent 334,453, 27 August 2020. [Google Scholar]
  87. Ma, J.; Hu, J.P.; Yan, X.Y.; Qi, C.H.; Guan, J. Transplanting Path Planning and Motion Functions Research of the High-Speed Tray Seedling Transplanting Robot. Adv. Mater. Res. 2013, 694, 1747–1752. [Google Scholar] [CrossRef]
  88. Hu, J.; Yan, X.; Ma, J.; Qi, C.; Francis, K.; Mao, H. Dimensional Synthesis and Kinematics Simulation of a High-Speed Plug Seedling Transplanting Robot. Comput. Electron. Agric. 2014, 107, 64–72. [Google Scholar] [CrossRef]
  89. Hu, J.; Jin, H.; Chang, Y.; Liu, W.; Han, L.; Yang, Q. Dimensional Synthesis and Trajectory Planning of Plug Seedling Transplanting Robot Based on Delta Parallel Mechanism. Trans. Chin. Soc. Agric. Mach. 2017, 48, 28–35. [Google Scholar] [CrossRef]
  90. CMP Machine Videos CMP: Automated Seedling Planting System. Available online: https://www.youtube.com/watch?v=gbf84QfSKuA (accessed on 2 March 2023).
  91. Hu, Y.; Wang, Z.; Zhang, H. Design and Test of an Automatic Seedling Transplanting Machine. J. Agric. Mech. Res. 2020, 42, 59–63+69. [Google Scholar] [CrossRef]
  92. Tong, J.; Li, J.B.; Jiang, H.Y. Machine Vision Techniques for the Evaluation of Seedling Quality Based on Leaf Area. Biosyst. Eng. 2013, 115, 369–379. [Google Scholar] [CrossRef]
  93. Ling, P.P.; Ruzhitsky, V.N. Machine Vision Techniques for Measuring the Canopy of Tomato Seedling. J. Agric. Eng. Res. 1996, 65, 85–95. [Google Scholar] [CrossRef]
  94. Feng, Q.; Liu, X.; Jiang, K.; Fan, P.; Wang, X. Development and Experiment on System for Tray-Seedling on-Line Measurement Based on Line Structured-Light Vision. Trans. Chin. Soc. Agric. Eng. 2013, 29, 143–149. [Google Scholar]
  95. Tai, Y.W.; Ling, P.P.; Ting, K.C. Machine Vision Assisted Robotic Seedling Transplanting. Trans. ASAE 1994, 37, 661–667. [Google Scholar] [CrossRef]
  96. Jin, X.; Li, R.; Tang, Q.; Wu, J.; Jiang, L.; Wu, C. Low-Damage Transplanting Method for Leafy Vegetable Seedlings Based on Machine Vision. Biosyst. Eng. 2022, 220, 159–171. [Google Scholar] [CrossRef]
  97. Syed, T.N.; Jizhan, L.; Xin, Z.; Shengyi, Z.; Yan, Y.; Mohamed, S.H.A.; Lakhiar, I.A. Seedling-Lump Integrated Non-Destructive Monitoring for Automatic Transplanting with Intel RealSense Depth Camera. Artif. Intell. Agric. 2019, 3, 18–32. [Google Scholar] [CrossRef]
  98. Sadeghi-Tehran, P.; Sabermanesh, K.; Virlet, N.; Hawkesford, M.J. Automated Method to Determine Two Critical Growth Stages of Wheat: Heading and Flowering. Front. Plant Sci. 2017, 8, 252. [Google Scholar] [CrossRef] [Green Version]
  99. Weng, Y.; Zeng, R.; Wu, C.; Wang, M.; Wang, X.; Liu, Y. A Survey on Deep-Learning-Based Plant Phenotype Research in Agriculture. Sci. Sin. 2019, 49, 698–716. [Google Scholar] [CrossRef] [Green Version]
  100. Zhao, K.; Zhao, L.; Zhao, Y.; Deng, H. Study on Lightweight Model of Maize Seedling Object Detection Based on YOLOv7. Appl. Sci. 2023, 13, 7731. [Google Scholar] [CrossRef]
  101. Samiei, S.; Rasti, P.; Ly Vu, J.; Buitink, J.; Rousseau, D. Deep Learning-Based Detection of Seedling Development. Plant Methods 2020, 16, 103. [Google Scholar] [CrossRef]
  102. Wang, Y.; Yu, H.; Liu, Y. Mechanical Transplanting Plug Tray Localization Method Based on Binocular Stereo Vision. Trans. Chin. Soc. Agric. Eng. 2016, 32, 43–49. [Google Scholar] [CrossRef]
  103. Yang, S.; Zheng, L.; Gao, W.; Wang, B.; Hao, X.; Mi, J.; Wang, M. An Efficient Processing Approach for Colored Point Cloud-Based High-Throughput Seedling Phenotyping. Remote Sens. 2020, 12, 1540. [Google Scholar] [CrossRef]
  104. Xu, S.; Zhang, Y.; Dong, W.; Bie, Z.; Peng, C.; Huang, Y. Early Identification and Localization Algorithm for Weak Seedlings Based on Phenotype Detection and Machine Learning. Agriculture 2023, 13, 212. [Google Scholar] [CrossRef]
  105. Yang, Z.; Zhang, W.; Li, W.; Chen, Y.; Song, P. Information Acquisition Method of Potted-Seedling Transplanting Fitness Using Monocular Vision. Trans. Chin. Soc. Agric. Eng. 2014, 30, 112–119. [Google Scholar] [CrossRef]
  106. Yang, Z.; Zhang, W.; Li, W.; Chen, Y. Monocular Vision-Based Method for Direction Adjustment of Transplanting Potted-Seedling Leaves. Trans. Chin. Soc. Agric. Eng. 2014, 30, 26–33. [Google Scholar] [CrossRef]
  107. Suzuki, T.; Murase, H. Non-Destructive Growth Measurement by Machine Vision for Cabbage Plug Seedlings Population with Missing Plants. IFAC Proc. Vol. 2000, 33, 151–156. [Google Scholar] [CrossRef]
  108. Wang, Y.; Xiao, X.; Liang, X.; Wang, J.; Wu, C.; Xu, J. Plug Hole Positioning and Seedling Shortage Detecting System on Automatic Seedling Supplementing Test-Bed for Vegetable Plug Seedlings. Trans. Chin. Soc. Agric. Eng. 2018, 34, 35–41. [Google Scholar]
  109. Jiang, H.; Shi, J.; Ren, Y.; Ying, Y. Application of Machine Vision on Automatic Seedling Transplanting. Trans. Chin. Soc. Agric. Eng. 2009, 25, 127–131. [Google Scholar]
  110. Wen, Y.; Zhang, L.; Huang, X.; Yuan, T.; Zhang, J.; Tan, Y.; Feng, Z. Design of and Experiment with Seedling Selection System for Automatic Transplanter for Vegetable Plug Seedlings. Agronomy 2021, 11, 2031. [Google Scholar] [CrossRef]
  111. Liu, J.; Liu, W.; Mao, H.; Li, P. Analysis on Picking Plant Sequence and Route of Transplanting Robotic for Column Cultivation. Trans. Chin. Soc. Agric. Eng. 2014, 30, 28–35. [Google Scholar] [CrossRef]
  112. Jiang, Z.; Zhou, M.; Tong, J.; Jiang, H.; Yang, Y.; Wang, A.; You, Z. Comparing an Ant Colony Algorithm with a Genetic Algorithm for Replugging Tour Planning of Seedling Transplanter. Comput. Electron. Agric. 2015, 113, 225–233. [Google Scholar] [CrossRef]
  113. Tong, J.; Jiang, H.; Zhou, M. Optimization of Seedling Transplanting Path Based on Genetic Algorithm. Trans. Chin. Soc. Agric. Mach. 2013, 44, 45–49+26. [Google Scholar] [CrossRef]
  114. He, Y.; Yang, T.; Wu, C.; Yu, Y.; Tong, J.; Chen, C. Optimization of Replugging Tour Planning Based on Greedy Genetic Algorithm. Trans. Chin. Soc. Agric. Mach. 2017, 48, 36–43. [Google Scholar] [CrossRef]
Figure 1. Types of transplanting: (a) widening-spacing transplanting, (b) replacement transplanting, (c) grading transplanting, (d) tray-to-pot transplanting.
Figure 1. Types of transplanting: (a) widening-spacing transplanting, (b) replacement transplanting, (c) grading transplanting, (d) tray-to-pot transplanting.
Agriculture 13 01488 g001
Figure 2. System composition diagram of plug tray seedling transplanter.
Figure 2. System composition diagram of plug tray seedling transplanter.
Agriculture 13 01488 g002
Table 1. Comparison of the current review paper with previous reviews.
Table 1. Comparison of the current review paper with previous reviews.
ReferencesContent
Transplanting TypesResearch StatusSubstrate Physical PropertiesEnd EffectorMultiple End Effector IntegrationOverall StructureVision SystemPath PlanningResearch Direction
[47]
[48]
[36]
[49]
[50]
ours
Table 2. Technical requirements of transplanters for different operation types.
Table 2. Technical requirements of transplanters for different operation types.
TypesChange Spacing for End EffectorsIndependent Control for End EffectorsVisual System
Widening-spacing transplantingYesNeeded or notNo
Replacement transplantingNeeded or notYesYes
Grading transplantingNeeded or notYesYes
Tray-to-pot transplantingYesNeeded or notNo
Table 3. Comparison of physical characteristics research methods.
Table 3. Comparison of physical characteristics research methods.
MethodsInstruments/ToolsPurposeCharacteristicsReference
Force measuring platformDynamometerMeasure the pulling force, penetration resistance, and clamping force of the gripper.Cheap measurement platform needs to be designed, and the measurement data need to be recorded manually.[52,53,54]
Universal testing machineMeasure the tensile and compressive strength of the substrate, the pulling force, penetration resistance.Simple operation, automatic recording of test data, moderate cost.[55,56,57]
Texture analyzerMeasure the matrix compression and creep test, the pulling force, penetration resistance.Simple operation, high accuracy, automatic recording of test data, high cost.[58,59,60,61]
Direct shear apparatusMeasure the shear strength and shear stress of the substrate.The test operation is complex, the test data are automatically recorded, high cost.[62]
Simulation technologyFEMAnalyze the stress of the substrate and the gripper, simulate the damage of the substrate under different physical characteristic parameters.Suitable for analyzing a substrate, which is easy to lose.[63]
DEMAnalyze the scattering of the substrate during the grasping process under different physical characteristic parameters.Suitable for loose substrate.[14,57]
Image technologyCT Study the relationship between root density distribution, root micro-displacement, and the substrate crack expansion.The equipment parameters need to be adjusted to obtain the three-dimensional image of root distribution.[38,64,65]
SEMStudy the substrate damage mechanism at the microscopic level of the internal composition and structure of the substrate.Obtaining the internal section image of the substrate.[66]
Table 5. Comparison of transplanting manipulators.
Table 5. Comparison of transplanting manipulators.
Transplanting ManipulatorStructural ComplexityBearable LoadDOFEfficiencyCostDimensionsScalability
Serial RobotSimpleHigh Load5–6HighExpensiveMiddleBest
Four-Axis SCARA RobotSimpleMiddle Load4MiddleMiddleSmall Good
Parallel RobotSimpleLow Load2–3LowLowSmallGood
Cartesian Coordinate ManipulatorComplicatedHigh Load2–3HighHighBigBad
Table 6. Commercial transplanters and technical parameters.
Table 6. Commercial transplanters and technical parameters.
Country
/Manufacturer
ModelNumber of GrippersWired/WirelessIndependent DriveIndependent ClampEfficiency
(Plants/Hour)
Applicable Plug TrayVision SystemAir Consumption (L/min)Power (kw)Weight (kg)
The Netherlands/VisconPic-O-Mat Blueline4–8WiredYY10,000Max size 600 × 400N------
Pic-O-Mat Greenline4–14WiredYY21,000Max size 600 × 400N------
Pic-O-Mat Redline8–24WiredYY35,000Max size 600 × 400N------
Pic-O-Mat PC112–4WiredYY60004 plants per potN------
Pic-O-Mat PFS-88WiredYY10,0004 plants per potN------
Pic-O-Mat VMP6–12WiredYY12,0004 plants per potN------
Fix-O-Mat TIFS-IV12WiredYY12,000--Y------
Select-O-Mat Phoenix12WiredYY8000--Y------
The Netherlands/TTAFlexPlanterMultipleWiredYY3000–30,000Plug size 9–30 mmY6052000
FlexPlanter XFMultipleWiredYY10,000–30,000Plug size 9–30 mmY15--4500
PackPlanter wirelessMultipleWirelessYN10,000–60,000Plug size 9–30 mmN202.5800
PackPlanterMultipleWirelessNN10,000–50,000Plug size 9–30 mmN202550
PackPlanter SMultipleWirelessYN10,000–20,000Plug size 9–30 mmN202450
MidiFlatMultipleWirelessYN4000–40,000Plug size 9–60 mmN173700
MidiVisionMultipleWirelessYY5000–40,000Plug size 9–60 mmY173.5800
FlexSorterMultipleWiredYY3000–12,000Plug size 9–60 mmY6052000
FlexSorter XFMultipleWiredYY10,000–30,000--Y16--4500
MaxSorterMultipleWiredYY6000–12,000--Y35--3800
Combifix IIMultipleWiredNY12,000–20,000Plug size 9–30 mmY53552250
The Netherlands/Flier SystemsSPH-TransplanterMultipleWiredYY----Y------
Young Plant SorterMultipleWiredNY8000--Y------
Plug Fixer5WiredNY11,000--Y------
The Netherlands/ISO GroupVision PlanterMultipleWiredNY----Y------
Plug Planting MachineMultipleWiredNY----N------
Great Britain/TEATEA 600N12WiredYY18,000Plug size 30–50 mmN701600
TEA 1500N12WiredYY12,000–14,400Max size 600 × 400N801700
TEA 2000N16WiredYY16,000Max size 600 × 400N801750
TEA 1500J2–12WiredYY12,000–14,400Max size 600 × 400N801650
TEA 2000J16WiredYY16,000Max size 600 × 400N801700
Italy/UrbinatiRW3240WirelessYN40,000----804960
RW6480WirelessYN56,000----8051300
USA/Bouldin & LawsonPlugPlanter S Model16–32WiredYN16,400–32,500----------
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Liu, W.; Tian, S.; Wang, Q.; Jiang, H. Key Technologies of Plug Tray Seedling Transplanters in Protected Agriculture: A Review. Agriculture 2023, 13, 1488. https://doi.org/10.3390/agriculture13081488

AMA Style

Liu W, Tian S, Wang Q, Jiang H. Key Technologies of Plug Tray Seedling Transplanters in Protected Agriculture: A Review. Agriculture. 2023; 13(8):1488. https://doi.org/10.3390/agriculture13081488

Chicago/Turabian Style

Liu, Wei, Shijie Tian, Qingyu Wang, and Huanyu Jiang. 2023. "Key Technologies of Plug Tray Seedling Transplanters in Protected Agriculture: A Review" Agriculture 13, no. 8: 1488. https://doi.org/10.3390/agriculture13081488

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop