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27 March 2025

A Review of Spoon-Style Potato Seed-Metering Defects Monitoring and Inhibition

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1
Mechanical and Electrical Engineering College, Gansu Agricultural University, Lanzhou 730070, China
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Gansu Mechanical Science Research Institute Co., Ltd., Lanzhou 730070, China
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College of Electrical Engineering, Sichuan University, Chengdu 610000, China
*
Author to whom correspondence should be addressed.
This article belongs to the Section Agricultural Technology

Abstract

Worldwide, the combination of cutting potato seeds and spoon-type seed-metering devices holds a dominant position in the development of potato planters. In this context, miss-seeding and multi-seeding caused by the seed spoon are important factors contributing to consequent yield reductions. These issues have become key concerns in the precision seeding of potatoes in recent years. This study first analyzes existing research into the monitoring and inhibition of spoon-style potato seed-metering defects. Then, the main problems of spoon-type precision potato planters are analyzed independently in depth, including the lack of monitoring methods, insufficient active inhibition of potato seed-metering defects, unexplored deep additional impacts of the ‘catching-up compensation’ effect, and limited research into multi-picking monitoring and inhibition methods. On this basis, four strategies are proposed: (1) improving the reliability of the seed-metering monitoring system, (2) simplifying the practicality of the miss-picking compensation system, (3) reducing multi-picking based on the trajectory abrupt change in potato seeds, and (4) researching the deep additional effects of the ‘catching-up compensation’ strategy and utilizing multi-means coupling simulation to assist in active seed-metering defect inhibition. Subsequently, relevant conclusions based on the existing literature and in-depth analyses are presented. Finally, prospects for the future development of potato seed-metering technology are discussed. This study aims to provide effective references for achieving intelligent, precise, and information-based potato seed-metering.

1. Introduction

The spoon-type seed-metering device occupies a dominant position in potato planter technology, the performance of which affects the quality and efficiency of seeding operations [1,2,3]. On a global scale, cutting potato seeds are easy to produce, cost-effective, and easy to carry in large quantities. Therefore, they are widely used as a seed type in the context of mechanized potato seeding [4,5,6]. However, due to the natural distribution of the shape and size of potato seeds, their mobility is poor, leading to a high degree of randomness in seed picking. The miss-picking and multi-picking by the seed spoon will inevitably lead to miss-seeding and multi-seeding, which are important factors contributing to consequent potato yield reductions that should be given full attention. Taking data from 2021 as an example, the potato planting area in China was about 4.6 million hectares, with a yield of about 91.5 million tons, ranking first in the world [7]. On this basis, considering miss-seeding and multi-seeding rates of 7%, the annual yield reduction in China would exceed 8 million tons. After conversion, this is equivalent to the annual food supply for an ordinary developing country with a population of 8 million. Similar yield reductions worldwide would be even more astonishing.
Although the impacts of these issues cannot be ignored, the basic mechanisms underlying miss-picking and multi-picking have not yet been deeply explored. Therefore, a significant reduction in miss-seeding and multi-seeding rates has not yet been achieved. The latest concepts, such as ‘catching-up compensation,’ still have unknown effects on the seeding system. Consequently, the high incidence of miss-seeding and multi-seeding, the difficulty of seed-metering monitoring, and the lack of mature inhibition strategies are still the main obstacles hindering improvements in the quality of mechanized potato seeding with spoon-type seed-metering devices. Furthermore, research into the monitoring and inhibition of seed-metering defects has mainly focused on miss-picking, while multi-picking has not received sufficient attention.
Therefore, this review first provides a brief overview of the research status on spoon-type potato seed-metering defect monitoring and inhibition (Section 2). Then, in Section 3, the main problems associated with spoon-type potato planters are analyzed. In Section 4, targeted solutions are proposed and, finally, conclusions are drawn and several future prospects regarding the technology in this field are discussed.

3. Main Problems of Spoon-Type Potato Planters

According to Section 2, to date, research into the monitoring and inhibition of potato miss-picking and multi-picking has not only remained in the laboratory stage but has also mainly focused on miss-picking. The main limitations of the relevant literature are discussed as follows:
(1) Monitoring methods are limited
At present, infrared optoelectronic systems are still widely used; however, these are susceptible to the influence of scattered light sources, such as sunlight, especially due to the poor dust and vibration resistance of the detection components, leading to frequent faults. Although non-optoelectronic methods, such as ultrasound and capacitive sensing, are theoretically feasible, they face high technical difficulties, such as low sampling rates and difficulty in precise positioning due to the more indirect information-acquisition path. Advanced algorithms are needed to overcome the problem of insufficient sampling data in medium- and high-speed operations.
(2) Insufficient research on active inhibition of potato seed-metering defects
In a precision seeding system, actively reducing the probability of miss-picking and multi-picking should be the core work of equipment design. Although the causes of seed-metering defects are complex, our team believes that they mainly relate to the coupling relationship between the structural factors and the operational parameters of the seeding system.
(3) The deep additional impact on ‘catching-up compensation’ urgently needs to be revealed
The existing compensation schemes for potato seed miss-picking inhibition mostly require separate compensation channels for seed movement, which can lead to complex system structures and difficulty in ensuring the accuracy of the compensated potato seed landing points. For this reason, our team’s latest concept, ‘A planting and compensating integrated potato planter with dual one-way clutch cooperation’ [14], has made encouraging progress. However, there has been a lack of quantitative research into the additional effects and parameter limitations of miss-picking and multi-picking due to the sudden change in speed. In this context, obtaining boundary conditions for potato seed stability is essential to ensure the safety of the mechanical structure and the potato seed itself.
(4) The research into multi-picking monitoring and inhibition methods is weak
Multi-picking recognition based on traditional photoelectric detection schemes is difficult, while high-end technologies, such as image identification, have high requirements for the application environment. As such, research into multi-picking inhibition strategies has not received much attention. Therefore, globally, it is still difficult to find any commercial potato planter on the market that possesses complete automatic miss-picking and multi-picking monitoring and inhibition functions.

4. Main Solutions to Existing Problems

4.1. Improve the Reliability of the Seed-Metering Monitoring System

(1) Infrared photoelectric monitoring components should be prioritized for installation in the ascending section of the potato seed-metering channel. As this section is often located in an open area above the seed box, with sufficient space and in the tension zone of the seed-metering chain or belt, its longitudinal and transverse swing amplitude is small, which is conducive to improving the stability of the obtained monitoring information. The upper part is also convenient for the installation of rain and light shelters; in this way, the applicability of the infrared photoelectric detection system can be improved further.
(2) To avoid the attenuation of infrared light in the atmosphere during infrared monitoring, cloudy weather with less fog and dust should be chosen. In addition, other reliable detection methods can be used to monitor the seed-metering status of potato planters; for example, laser sensors should be prioritized. This type of sensor has strong signals and is completely unaffected by stray sunlight or general lighting sources in the working environment.

4.2. Simplification and Practicality of Miss-Picking Compensation System

Given the known potato miss-picking information, the compensation system should take timely action in the simplest and fastest way possible. This inevitably requires a simplified compensation plan and direct actions. Therefore, it is advisable to avoid adding dedicated compensation seed boxes and channels for the compensation of potato seeds as much as possible, and it is best for the entire controller to be completed by one CPU. The ‘catching-up compensation’ described in a patent [14] and papers [33,34] is one of the solutions that meets the above standards. This scheme greatly simplifies the composition of the miss-picking compensation system, and the position deviation of the compensation system can be reduced through a software-based adjustment, thereby achieving a qualitative leap in the usability of the system.

4.3. Implementation of Multi-Picking Reduction Strategy Based on the Abrupt Trajectory Change in Potato Seeds

With the steady implementation of staple food strategies and the continuous promotion of high-yield potato seeds, the cost of potato seeds in potato cultivation has been steadily increasing annually. Multi-picking—which describes one spoon taking more than one seed—is obviously contrary to economic logic and the basic principles of precision agriculture. It can also lead to more serious potential risks, such as weak and sickly seedlings, competition for fertilizer among multiple seedlings, decreased yields, and tuber deformities; however, multi-picking inhibition strategies have not been proposed, except for local forced vibration in the seed box. In this line, our team believes that after the seed spoon comes away from the seed box surface, a small abrupt change in the trajectory of the seed-metering chain can be used to remove excess potato seeds; the earlier this is performed, the more advantageous it is for the excess seeds to fall directly into the seed box (rather than being discharged outside). Moreover, the mutation point adopts a gear-nut-top-thread structure, which is a relatively simple mechanism that can be installed on the seed box directly behind the seed-metering chain. It consists of a movable bolt connected to a small gear, which meshes with the seed-metering chain. By moving this bolt, the meshing force between the seed-metering chain and the small sprocket can be changed. The core function of this device is that, when the seed spoon passes through this point, its movement trajectory will significantly change, and excess potato seeds are more likely to fall off on their own. In addition, this device is more conducive to full tensioning of the seed-metering chain, thus reducing its longitudinal and lateral swing amplitude.

4.4. Research on the Deep Additional Effects of the ‘Catching-Up Compensation’ Strategy

The ‘catching-up compensation’ scheme does not require the addition of a compensating seed box and an independent motion channel for the compensation of potato seeds, thus presenting a simple structure. Prototype tests have also preliminarily proven its practicality [33,34]. However, the execution of miss-picking compensation inevitably leads to drastic changes in the speed of the seed-metering chain, including a sudden increase, uniform speed, and a sudden decrease. This process, in turn, may have additional effects on miss-picking and miss-picking; however, the quantitative relationship and boundary parameters of this effect are still unclear. In addition, the stability changes of potato seeds caused by this process and the corresponding limitations on the movement parameters of the seed-metering system also urgently need to be explored.

4.5. Low-Cost Active Seed-Metering Defect Inhibition Based on Multi-Means Coupling Simulation Assistance

In the design stage of a potato planter, relevant measures can be taken in advance to reduce seed-metering defects, which is a powerful means to improve system efficiency and reduce yield reductions in a fundamental manner. However, this requires systematic and in-depth research. Under traditional conditions, this requires a large number of key component tests (in addition to field tests) and the accumulation of data, as well as a significant amount of time and financial investment. However, with the development of computer science and technology, traditional computationally intensive problems, such as Multi-Body Dynamics and Finite Element Analysis, are no longer the main limiting factors. Many cases have proven that, as long as the system modeling parameters are configured properly, the conclusions obtained can fully simulate the actual agricultural production. Therefore, such methods are effective and worth learning from for the low-cost and rapid implementation of research on complex relationships, such as those considered here.

5. Conclusions and Prospects

5.1. Main Conclusions

(1) Existing research into potato seed-metering monitoring has generally focused on the seed spoon miss-picking phenomenon, and mainstream solutions involve a combination of hardware and software based on infrared optoelectronic components. In order to improve the reliability of these systems, it is recommended to use far-infrared optoelectronic components or laser sensors with wide-angle reception, and it is advisable to use multiple short-term results to enhance the credibility of the obtained results.
(2) Capacitive monitoring is only suitable for low-speed operation planters at present. The reason for this is that the practical frequency for detecting capacitance values directly is around 50–60 Hz at present, according to the technology currently available on the market, which is relatively slow and still presents a significant gap with respect to the lower limit of the required frequency (i.e., 600–700 Hz) [38].
(3) Traditional optoelectronic methods are only relatively successful in the field of miss-picking and have difficulty in effectively detecting multi-picking. While machine-vision-based potato spoon detection involving an image or video monitoring scheme is a feasible method, reducing the information recognition time to within 5 ms is necessary.
(4) The crank-connecting rod strike [30], electromagnetic-thrust-hit [31], and socket–roller [32] miss-seeding compensation systems all require a separate additional seed box and a potato seed movement channel, making these systems complex; furthermore, some schemes require strict prerequisites, which poses significant obstacles to their short-term application. The preliminary feasibility for application of the technology described in [14]—namely, ‘catching-up compensation’—has been proven, although some details have not yet been thoroughly studied.
(5) The use of the ‘local forced vibration in seed box’ strategy is beneficial for enhancing the fluidity of potato seeds, which is advantageous for picking seeds with a spoon and helps to reduce the occurrence of multi-picking. Combined with multi-means coupling simulation assistance, it is currently an active choice for seed-metering defect inhibition.
(6) In contrast, the implementing a sudden change in the trajectory of potato seeds is the latest passive inhibition strategy for the mitigation of multi-picking. Combined with the downward tilting seed spoon concept, this approach is expected to achieve an effective breakthrough in multi-picking inhibition.

5.2. Prospects

(1) Fully electric-driven seed-metering is an important trend in the development of the field at present. First, the seed-metering speed of this driving method is fully electrified, and the selection of the seeding distance can be completed in a digital manner, which is simple and convenient, being greatly superior to traditional pure mechanical systems. Second, this concept provides great convenience for the deployment of miss-picking and multi-picking mitigation schemes, navigation technology, and the application of artificial intelligence systems. The most important thing is that all power comes from only one electric motor, so the overall power transmission system is simple and efficient. The volume and complexity of these new potato planters will be significantly reduced, providing better opportunities for their further popularization in hilly and mountainous areas.
(2) Although the downward tilting seed spoon, which provides advantages for removing excess potato seeds, is simple and easy to operate, the relationships between the spoon structure, tilt angle selection, and seed-metering defects under the new concept need to be studied further. The specific structure of the potato spoon has a significant impact on seed-picking performance, and it needs to be designed to be completely compatible to ensure the reliability of the seed-metering monitoring system. The tilt angle can be tentatively set at 15°, 20°, or 25°. The specific miss-picking rate and multi-picking rate under different seed-metering chain speeds can be studied through simulation and subsequent bench testing in order to ultimately determine the specific optimal parameters.

Author Contributions

Conceptualization, G.W. and W.S.; methodology, X.L.; validation, G.L., J.Z., Z.L. and L.D.; formal analysis, X.L.; investigation, X.L., G.W. and W.S.; resources, G.W.; writing—original draft preparation, X.L., G.W., G.L., J.Z., H.L. and Z.L.; writing—review and editing, X.L., G.W., G.L., J.Z., Z.L. and L.W.; supervision, G.W. and W.S.; project administration, G.W. and W.S.; funding acquisition, X.L., G.W., W.S. and H.L. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the [Education Department of Gansu Province] grant number [2023CYZC-42], [Gansu Provincial Department of Science and Technology] grant number [24ZDCA009], [National Natural Science Foundation of China] grant number [52165028], and [Education Department of Gansu Province] grant number [2025B-098].

Institutional Review Board Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author upon reasonable request.

Acknowledgments

This research was funded by the Industrial Support Plan (Education Department of Gansu Province, 2023CYZC-42), the Gansu Province Science and Technology Achievement Transformation Guidance Special Project (24ZDCA009), the National Natural Science Foundation of China (NSFC, 52165028), and the Innovation Fund for College Teachers in Gansu Province (2025B-098).

Conflicts of Interest

Authors Xiaokang Li, Guizi Li, Jiarui Zhang, Zhengsuo Li and Lili Ding were employed by the company Gansu Mechanical Science Research Institute Co., Ltd.. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. Lü, J.Q.; Zhao, Z.M.; Yang, D.Q.; Zhu, X.X.; Qi, Y. Research on Mechanized Sowing Technology and Application of Potatoes. In Proceedings of the 24th China Potato Conference, Qiqihar, China, 15–18 July 2023; pp. 224–229. (In Chinese). [Google Scholar]
  2. Pei, L.Q.; Sun, W.; Wang, J.L.; Simionescu, P.A. Design and experiment of a film-drilling potato seeder with eccentric coupling. Agriculture 2024, 14, 933. [Google Scholar] [CrossRef]
  3. Wang, J.R.; Liao, M.; Xia, H.L.; Chen, R.; Li, J.J.; Li, J.M.; Yang, J. Study on a novel reseeding device of a precision potato planter. Agriculture 2024, 14, 1824. [Google Scholar] [CrossRef]
  4. Gao, Y.; Huang, Y.X.; Li, P.; Zhang, S.L.; Zheng, Z.Q. Design and experiment of three-claw spoon type potato precise metering device. J. Agric. Mech. Res. 2023, 45, 191–197. (In Chinese) [Google Scholar]
  5. Zhang, W.Z.; Zhang, H.Y.; Liu, S.F.; Zeng, X.; Mu, G.Z.; Zhang, T.T. Detection of potato seed buds based on an improved YOLOv7 model. Trans. CSAE 2023, 39, 148–158. (In Chinese) [Google Scholar]
  6. Lü, J.Q.; Wen, X.Y.; Li, Z.H.; Li, J.C.; Liu, Z.Y. Design and experiment of the grading device for a potato seed cutting machine. Trans. CSAE 2020, 36, 76–83. [Google Scholar]
  7. Luo, Q.Y.; Lu, H.W.; Li, G.J.; Gao, M.J.; Lü, J.F. Analysis of the development situation of china’s potato industry in 2022. In Proceedings of the 24th China Potato Conference, Qiqihar, China, 16 July 2023. (In Chinese). [Google Scholar]
  8. Sun, W.; Liu, X.L.; Zhang, H.; Wang, H.C.; Tian, B. Design of potato casing soil planter in all-in-one machine combined with fertilizing, sowing, ridging, complete film mulching and planting line covering. Trans. CSAE 2017, 33, 14–22. (In Chinese) [Google Scholar]
  9. Yang, H.G.; Liu, Z.S.; Ni, Z.W.; Lin, L.C.; Yang, R.B. Design and test of 2CM-4 type potato planter. J. Qingdao Agric. Univ. (Nat. Sci.) 2017, 34, 137–140. (In Chinese) [Google Scholar]
  10. Aboegela, M.A.; El-Ghobashy, H.M.; Shaban, Y.A. Development a single row potato planter for small holdings. J. Soil Sci. Agric. Eng. 2021, 12, 137–143. [Google Scholar] [CrossRef]
  11. Rathore, F.; Chaturvedi, S. Development and performance evaluation of manually operated potato planter. Bhartiya Krishi Anusandhan Patrika 2018, 33, 215–217. [Google Scholar] [CrossRef]
  12. Shi, L.R.; Yang, X.P.; Zhao, W.Y.; Sun, W.; Li, R.B.; Sun, B.G. Design and test of potato combine seeder with throwing and covering soil on film edge. Trans. Chin. Soc. Agric. Mach. 2018, 49, 129–137. (In Chinese) [Google Scholar]
  13. Sun, C.Z.; Wang, F.M.; Li, X.Q.; Su, G.L.; Wang, X.Y.; Wei, Z.C.; Sun, J.B. Design of intelligent control system of potato precision planter. Trans. CSAE 2017, 33, 36–44. (In Chinese) [Google Scholar]
  14. Wang, G.P.; Sun, W.; Zhang, H.; Liu, X.L.; Yang, X.P.; Yang, H.; Li, Y.M.; Li, H.L.; Yang, W.X.; Gao, X.Y.; et al. A Planting and Compensating Integrated Potato Planter with Dual One-Way Clutch Cooperation. Chinese Patent ZL201910106116.6, 1 September 2023. [Google Scholar]
  15. Zhang, H.; Zhao, W.Y.; Sun, W.; Wang, G.P.; Liu, X.L.; Feng, B.; Shi, L.R.; Liu, Y.; Li, H.L. Potato planter test bed based on capacitive precision seed-monitoring and miss-seeding compensation system. Int. J. Agric. Biol. Eng. 2022, 15, 104–112. [Google Scholar] [CrossRef]
  16. Krestenitis, M.; Raptis, E.K.; Kapoutsis, A.C.; Ioannidis, K.; Kosmatopoulos, E.B.; Vrochidis, S. Overcome the Fear of Missing Out: Active Sensing UAV Scanning for Precision Agriculture. Robot. Auton. Syst. 2024, 172, 104581. [Google Scholar] [CrossRef]
  17. Nagesh, O.S.; Budaraju, R.R.; Kulkarni, S.S.; Vinay, M.; Ajibade, S.S.M.; Chopra, M.; Jawarneh, M.; Kaliyaperumal, K. Boosting enabled efficient machine learning technique for accurate prediction of crop yield towards precision agriculture. Discov. Sustain. 2024, 5, 78. [Google Scholar] [CrossRef]
  18. Lu, J.Z.; Liu, S.P.; Wang, Q.; Liao, M. Research on device and sensing technology for precision seeding of potato. Agriculture 2024, 14, 2146. [Google Scholar] [CrossRef]
  19. Lü, J.Q.; Zhang, H.; Li, J.C.; Liu, Z.Y.; Su, W.H.; Zhu, X.Y. Design and experiment of sorting device of potato seed cutting machine. J. Northeast Agric. Univ. 2022, 53, 47–59. (In Chinese) [Google Scholar]
  20. Yang, S.; Zhai, C.Y.; Gao, Y.Y.; Dou, H.J.; Zhao, X.G.; He, Y.K.; Wang, X. Planting uniformity performance of motor-driven maize precision seeding systems. Int. J. Agric. Biol. Eng. 2022, 15, 101–108. [Google Scholar] [CrossRef]
  21. Wang, S.; Sun, Y.H.; Yang, C.; Yu, Y.C. Advanced design and tests of a new electrical control seeding system with genetic algorithm fuzzy control strategy. J. Comput. Methods Sci. Eng. 2021, 21, 703–712. [Google Scholar] [CrossRef]
  22. Mhango, J.K.; Harris, E.W.; Green, R.; Monaghan, J.M. Mapping potato plant density variation using aerial imagery and deep learning techniques for precision agriculture. Remote Sens. 2021, 13, 2705. [Google Scholar] [CrossRef]
  23. Bai, J.Q.; Hao, F.Q.; Cheng, G.H.; Li, C.G. Machine vision-based supplemental seeding device for plug seedling of sweet corn. Comput. Electron. Agric. 2021, 188, 106345. [Google Scholar] [CrossRef]
  24. Liu, H.X.; Yin, L.W.; Xie, Y.T.; Zhao, Y.J.; Fang, L. Development of the transfer platform with ground wheel in front for the medium-sized no-tillage stalk mulching ridge corn planter. Trans. CSAE 2022, 38, 10–18. (In Chinese) [Google Scholar]
  25. He, X.; Wang, M.S.; Zhang, R.; Zhu, Y.H.; Chen, Y.; Shao, F.L.; Chen, Y.; Chen, X.C.; Lü, Z.J. Design and experiment of wheat multi-level ballast control sowing monomer. J. Henan Agric. Univ. 2024, 58, 1002–1011. (In Chinese) [Google Scholar]
  26. Ding, Y.Q.; Chen, C.; Yu, H.F.; Zhang, H.D.; Dou, X.L.; Liu, Z. Self-correcting method for application rate control parameters of wheat seed drill machine. Trans. Chin. Soc. Agric. Mach. 2023, 54, 31–37+275. (In Chinese) [Google Scholar]
  27. Ding, Y.C.; Chen, L.Y.; Wang, D.H.; Liu, X.D.; Xu, C.B.; Wang, K.Y. Design and test of monitoring system for rapeseed sowing quality. J. South China Agric. Univ. 2021, 42, 43–51. (In Chinese) [Google Scholar]
  28. Liao, Y.T.; Sun, M.; Liao, Q.X.; Wang, C.Q.; Zheng, J.; Wu, A.Y. Ordering of seed flow in seed guiding of precision sowing for rapeseed. Trans. CSAE 2023, 39, 23–35. (In Chinese) [Google Scholar]
  29. Zhang, X.D.; Wu, J.M.; Sun, W.; Wang, D. Design of automatic compensation system for potato planter. J. Gansu Agric. Univ. 2013, 48, 145–149. (In Chinese) [Google Scholar]
  30. Liu, Q.W.; Wu, J.M.; Wang, D.; Sun, W.; Wang, G.P.; Shi, L.R.; Wu, J. Design and test of a microcomputer-controlled loss sowing compensation system for 2CM-2 potato seeder. Agric. Res. Arid Areas 2013, 31, 260–266. (In Chinese) [Google Scholar]
  31. Sun, W.; Wang, G.P.; Wu, J.M. Design and experiment on loss sowing testing and compensation system of spoon-chain potato metering device. Trans. CSAE 2016, 32, 8–15. (In Chinese) [Google Scholar]
  32. Wang, G.P.; Sun, W. Development of a kind of potato loss sowing detection and compensation device. Res. Agric. Mod. 2016, 37, 1008–1014. (In Chinese) [Google Scholar]
  33. Wang, G.P.; Sun, W.; Zhang, H.; Liu, X.L.; Li, H.L.; Yang, X.P.; Zhu, L. Research on a kind of seeding-monitoring and compensating control system for potato planter without additional seed-metering channel. Comput. Electron. Agric. 2020, 177, 105681. [Google Scholar] [CrossRef]
  34. Wang, G.P.; Sun, W.; Chen, L.D.; Zhang, H.; Liu, X.L.; Li, H.L.; Yang, X.P.; Yang, H. Realization of an integrated seeding and compensating potato planter based on one-way clutch. Int. J. Agric. Biol. Eng. 2020, 13, 79–87. [Google Scholar] [CrossRef]
  35. Zhou, L.M.; Zhang, X.C.; Yuan, Y.W. Design of capacitance seed rate sensor of wheat planter. Trans. CSAE 2010, 26, 99–103. (In Chinese) [Google Scholar]
  36. Zhou, L.M.; Wang, S.M.; Zhang, X.C.; Yuan, Y.W.; Zhang, J.N. Seed monitoring system for corn planter based on capacitance signal. Trans. CSAE 2012, 28, 16–21. (In Chinese) [Google Scholar]
  37. Niu, K.; Zhou, L.; Yuan, Y.W.; Liu, Y.C.; Fang, X.F. Design and experiment on automatic compensation system of spoon-chain potato metering device. Trans. Chin. Soc. Agric. Mach. 2016, 47 (Suppl. S1), 76–83. (In Chinese) [Google Scholar]
  38. Wang, G.P.; Yang, X.P.; Sun, W.; Liu, Y.; Wang, C.J.; Zhang, H.; Liu, X.L.; Feng, B.; Li, H.L. Potato seed-metering monitoring and improved miss-seeding catching-up compensation control system using spatial capacitance sensor. Int. J. Agric. Biol. Eng. 2024, 17, 255–264. [Google Scholar]
  39. Wen, B.Q.; Song, P.X.; Li, J.B.; Huang, Y.; Cen, H.L. Design and test of seeding monitoring and compensating system for belt-spoon type potato seed metering device. Trans. Chin. Soc. Agric. Mach. 2022, 53, 36–46. (In Chinese) [Google Scholar]
  40. Hu, T. Seed spacing recognition based on machine vision and its application. In Proceedings of the International Conference on Cognitive Based Information Processing and Applications, Changzhou, China, 22 November 2024. [Google Scholar]
  41. Bai, H.J.; Wang, N.; Long, J. Image-based corn seed embryo orientation detection and adjustment for precision planting. Comput. Electron. Agric. 2024, 224, 109139. [Google Scholar] [CrossRef]
  42. Li, H.L.; Liu, X.L.; Zhang, H.; Li, H.; Jia, S.Y.; Sun, W.; Wang, G.P.; Feng, Q.; Yang, S.; Xing, W. Research and experiment on miss-seeding detection of potato planter based on improved YOLOv5s. Agriculture 2024, 14, 1905. [Google Scholar] [CrossRef]
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