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AgriEngineering, Volume 5, Issue 4

2023 December - 50 articles

Cover Story: Global nutrition hinges on the continuous production of fruits in agriculture. Innovations like computer vision, particularly in pre-harvest fruit image processing, enhance quality and cut costs. Notable progress in estimating production and robotic harvesting is evident. Precision agriculture stands to benefit from precise pre-harvest fruit crop production estimation, optimizing resource use. This work suggests a solution for evaluating orange production using image processing. A dataset featuring green oranges facilitates the development of a green–orange detector, adept at tracking and counting fruits directly from trees. The resulting labeled image database contributes to scientific and technological innovation. View this paper
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Articles (50)

  • Article
  • Open Access
4 Citations
2,535 Views
20 Pages

Coffee Growing with Remotely Piloted Aircraft System: Bibliometric Review

  • Nicole Lopes Bento,
  • Gabriel Araújo e Silva Ferraz,
  • Lucas Santos Santana and
  • Mirian de Lourdes Oliveira e Silva

15 December 2023

Remotely piloted aircraft systems (RPASs) have gained prominence in recent decades primarily due to their versatility of application in various sectors of the economy. In the agricultural sector, they stand out for optimizing processes, contributing...

  • Article
  • Open Access
8 Citations
6,547 Views
19 Pages

Harnessing Solar Energy: A Novel Hybrid Solar Dryer for Efficient Fish Waste Processing

  • Mohamed Deef,
  • Helal Samy Helal,
  • Islam El-Sebaee,
  • Mohammad Nadimi,
  • Jitendra Paliwal and
  • Ayman Ibrahim

15 December 2023

Facing severe climate change, preserving the environment, and promoting sustainable development necessitate innovative global solutions such as waste recycling, extracting value-added by-products, and transitioning from traditional to renewable energ...

  • Article
  • Open Access
6 Citations
3,065 Views
16 Pages

Dynamic Behavior Forecast of an Experimental Indirect Solar Dryer Using an Artificial Neural Network

  • Angel Tlatelpa Becerro,
  • Ramiro Rico Martínez,
  • Erick César López-Vidaña,
  • Esteban Montiel Palacios,
  • César Torres Segundo and
  • José Luis Gadea Pacheco

14 December 2023

This research presents the prediction of temperatures in the chamber of a solar dryer using artificial neural networks (ANN). The dryer is a forced-flow type and indirect. Climatic conditions, temperatures, airflow, and geometric parameters were cons...

  • Article
  • Open Access
10 Citations
4,240 Views
15 Pages

12 December 2023

Climate change is linked to CO2 emissions, the reduction of which has become a top priority. In response to these circumstances, scientists must constantly develop new technologies that increase fuel efficiency and reduce emissions. Agriculture today...

  • Article
  • Open Access
3 Citations
3,277 Views
13 Pages

Coconut Mesocarp Extracts to Control Fusarium musae, the Causal Agent of Banana Fruit and Crown Rot

  • Jesús Aidmir Yeikame Morelia-Jiménez,
  • Beatriz Montaño-Leyva,
  • Francisco Javier Blancas-Benitez,
  • Luz del Carmen Romero-Islas,
  • Porfirio Gutierrez-Martinez,
  • Luis Guillermo Hernandez-Montiel,
  • Pedro Ulises Bautista-Rosales and
  • Ramsés Ramón González-Estrada

11 December 2023

Crown rot, caused by Fusarium species, is the most devastating postharvest disease in bananas. Fungicides are traditionally applied as a postharvest treatment to control crown rot in bananas. However, there is a need to research environmentally frien...

  • Article
  • Open Access
18 Citations
4,376 Views
14 Pages

11 December 2023

During the 1950s, the Gros Michel species of bananas were nearly wiped out by the incurable Fusarium Wilt, also known as Panama Disease. Originating in Southeast Asia, Fusarium Wilt is a banana pandemic that has been threatening the multi-billion-dol...

  • Article
  • Open Access
19 Citations
7,279 Views
15 Pages

A Convolutional Neural Network Algorithm for Pest Detection Using GoogleNet

  • Intan Nurma Yulita,
  • Muhamad Farid Ridho Rambe,
  • Asep Sholahuddin and
  • Anton Satria Prabuwono

The primary strategy for mitigating lost productivity entails promptly, accurately, and efficiently detecting plant pests. Although detection by humans can be useful in detecting certain pests, it is often slower compared to automated methods, such a...

  • Article
  • Open Access
2 Citations
3,360 Views
17 Pages

Thermal Performance of a Flat-Plate Solar Collector for Drying Agricultural Crops

  • Fatema Al Kindi,
  • Talal Al-Shukaili,
  • Pankaj B. Pathare,
  • Farooq Al Jahwari,
  • Nasser Al-Azri and
  • Ohood Al Ghadani

In this study, the finite volume method was used to evaluate the thermal performance of a flat-plate solar collector used to dry agricultural crops. A 3D numerical model was created and used to predict the outlet air velocities and temperatures for t...

  • Article
  • Open Access
5 Citations
3,648 Views
23 Pages

Remote Sensing and Kriging with External Drift to Improve Sparse Proximal Soil Sensing Data and Define Management Zones in Precision Agriculture

  • Hugo Rodrigues,
  • Marcos B. Ceddia,
  • Gustavo M. Vasques,
  • Vera L. Mulder,
  • Gerard B. M. Heuvelink,
  • Ronaldo P. Oliveira,
  • Ziany N. Brandão,
  • João P. S. Morais,
  • Matheus L. Neves and
  • Sílvio R. L. Tavares

The precision agriculture scientific field employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impacts. Therefore, obtaining a high number of soil samples to make precision agriculture feasi...

  • Technical Note
  • Open Access
2 Citations
2,547 Views
12 Pages

Thermal Conditions of Laying Quail Sheds in Brazil

  • Evandro Menezes de Oliveira,
  • Sheila Tavares Nascimento,
  • João Victor do Nascimento Mós,
  • Lenilson da Fonseca Roza,
  • Juliana Beatriz Toledo and
  • Tatiana Carlesso dos Santos

This study was conducted to survey the level of technification of quail sheds in Brazil. Data from 25 quail farms (5 in each Brazilian region) were collected by image analysis of videos available on the Internet. The analyzed variables were farm loca...

  • Article
  • Open Access
3 Citations
2,338 Views
11 Pages

Modeling of Coffee Fruit: An Approach to Simulate the Effects of Compression

  • Janielle Souza Pereira,
  • Ricardo Rodrigues Magalhães,
  • Fábio Lúcio Santos,
  • Ednilton Tavares de Andrade and
  • Leomar Santos Marques

The flavor, aroma, and color of coffee can be changed due to mechanical damage, reducing its quality. To measure the mechanical behavior of the fruit, compression tests can be performed at different stages of ripeness. In this study, we analyzed the...

  • Article
  • Open Access
5 Citations
2,845 Views
19 Pages

Calibration and Implementation of a Dynamic Energy Balance Model to Estimate the Temperature in a Plastic-Covered Colombian Greenhouse

  • Gloria Alexandra Ortiz,
  • Adrian Nicolas Chamorro,
  • John Fabio Acuña-Caita,
  • Irineo L. López-Cruz and
  • Edwin Villagran

Modeling and simulation have become fundamental tools for the microclimatic analysis of greenhouses under various climatic conditions. These models allow precise control of the climate inside the structures and the optimization of their performance u...

  • Article
  • Open Access
15 Citations
4,262 Views
18 Pages

Machine learning (ML) within the edge internet of things (IoT) is instrumental in making significant shifts in various industrial domains, including smart farming. To increase the efficiency of farming operations and ensure ML accessibility for both...

  • Article
  • Open Access
4 Citations
2,340 Views
13 Pages

Indication of Light Stress in Ficus elastica Using Hyperspectral Imaging

  • Pavel A. Dmitriev,
  • Boris L. Kozlovsky,
  • Anastasiya A. Dmitrieva,
  • Vladimir S. Lysenko,
  • Vasily A. Chokheli and
  • Tatyana V. Varduni

Hyperspectral imaging techniques are widely used to remotely assess the vegetation and physiological condition of plants. Usually, such studies are carried out without taking into account the light history of the objects (for example, direct sunlight...

  • Review
  • Open Access
1 Citations
3,355 Views
15 Pages

Bridging the Implementation Gap between Pomace Waste and Large-Scale Baker’s Yeast Production

  • Josipa Lisičar Vukušić,
  • Thomas Millenautzki and
  • Stéphan Barbe

The objectives set in the European Green Deal constitute the starting point of this review, which then focuses on the current implementation gap between agro-industrial wastes as resources for large-scale bioprocesses (e.g., baker’s yeast, bioe...

  • Review
  • Open Access
28 Citations
10,999 Views
22 Pages

Development Challenges of Fruit-Harvesting Robotic Arms: A Critical Review

  • Abdul Kaleem,
  • Saddam Hussain,
  • Muhammad Aqib,
  • Muhammad Jehanzeb Masud Cheema,
  • Shoaib Rashid Saleem and
  • Umar Farooq

17 November 2023

Promotion of research and development in advanced technology must be implemented in agriculture to increase production in the current challenging environment where the demand for manual farming is decreasing due to the unavailability of skilled labor...

  • Article
  • Open Access
4 Citations
2,362 Views
20 Pages

Requirements and Economic Implications of Integrating a PV-Plant-Based Energy System in the Dairy Production Process

  • Martin Höhendinger,
  • Hans-Jürgen Krieg,
  • Reinhard Dietrich,
  • Stefan Rauscher,
  • Christina Hartung,
  • Jörn Stumpenhausen and
  • Heinz Bernhardt

16 November 2023

To expand the potential of renewable energies, energy storage is required to level peaks in energy demand and supply. The aim of the present study was to examine and characterize the energy consumption of a milk production system to find possibilitie...

  • Article
  • Open Access
5 Citations
2,248 Views
12 Pages

Research on a Machine–Tractor Unit for Strip-Till Technology

  • Volodymyr Nadykto,
  • Rolandas Domeika,
  • Gennadii Golub,
  • Savelii Kukharets,
  • Tetiana Chorna,
  • Jonas Čėsna and
  • Taras Hutsol

13 November 2023

One of the most modern technologies for growing row crops is strip-till. Currently, it occupies an intermediate position between conventional tillage and no-till technologies. Special complex and expensive machines are used to implement strip-till te...

  • Article
  • Open Access
2 Citations
2,378 Views
14 Pages

Illuminating Solutions for Reducing Mislaid Eggs of Cage-Free Layers

  • Ramesh Bahadur Bist,
  • Xiao Yang,
  • Sachin Subedi and
  • Lilong Chai

10 November 2023

Social dynamics and lighting conditions influence floor egg-laying behavior (FELB) in hens. Hens prefer to lay eggs in darker areas, leading to mislaid eggs in cage-free systems. Consistent lighting is crucial to prevent mislaid eggs, but equipment o...

  • Review
  • Open Access
12 Citations
7,439 Views
15 Pages

Recent Progress on Catalytic of Rosin Esterification Using Different Agents of Reactant

  • Mardiah Mardiah,
  • Tjokorde Walmiki Samadhi,
  • Winny Wulandari,
  • Aqsha Aqsha,
  • Yohanes Andre Situmorang and
  • Antonius Indarto

Gum rosin is an important agricultural commodity which is widely used as a raw material for various industries. However, gum rosin has low stability, crystallizes easily, and tends to oxidize. This is due to carboxyl groups and conjugated double bond...

  • Article
  • Open Access
6 Citations
2,938 Views
16 Pages

Antioxidant Capacity in Two Different Cultivars of Ripe and Unripe Peaches Utilizing the Cloud-Point Extraction Method

  • Ioannis Giovanoudis,
  • Vassilis Athanasiadis,
  • Theodoros Chatzimitakos,
  • Dimitrios Kalompatsios,
  • Martha Mantiniotou,
  • Eleni Bozinou,
  • Olga Gortzi,
  • George D. Nanos and
  • Stavros I. Lalas

In this study, the objective was to ascertain the optimal extraction method for the recovery of polyphenols from two peach cultivars, namely ‘Andross’ and ‘Everts’, at unripe and ripe stages. Two extraction techniques were exp...

  • Article
  • Open Access
3 Citations
3,696 Views
16 Pages

Evaluation of Alternative-Design Cotton Gin Lint Cleaning Machines on Fiber Length Uniformity Index

  • Carlos B. Armijo,
  • Christopher D. Delhom,
  • Derek P. Whitelock,
  • Jaya Shankar Tumuluru,
  • Kathleen M. Yeater,
  • Cody D. Blake,
  • Chandler Rowe,
  • John D. Wanjura,
  • Ruixiu Sui and
  • Neha Kothari
  • + 2 authors

Developing cotton ginning methods that improve fiber length uniformity index to levels that are compatible with newer and more efficient spinning technologies would expand market share and increase the demand for cotton products and give U.S. cotton...

  • Article
  • Open Access
3 Citations
2,298 Views
11 Pages

This paper presents the implementation of statistical and remote sensing techniques to analyze the spectral response, grain yield, and infestation of fall armyworm (Spodoptera frugiperda) in corn (Zea mays) based on the application of edaphic and fol...

  • Review
  • Open Access
7 Citations
9,758 Views
33 Pages

Agricultural Engineering Technologies in the Control of Frost Damage in Permanent Plantations

  • Vjekoslav Tadić,
  • Kosta Gligorević,
  • Zoran Mileusnić,
  • Rajko Miodragović,
  • Marko Hajmiler and
  • Dorijan Radočaj

The occurrence of late spring frosts due to climate change causes great damage to plantation production worldwide. The main objective of the paper is to provide a comprehensive overview of the problem and to outline effective protective measures agai...

  • Article
  • Open Access
11 Citations
10,252 Views
15 Pages

Effect of Pretreatment and Temperature on Drying Characteristics and Quality of Green Banana Peel

  • Kushal Dhake,
  • Sanjay Kumar Jain,
  • Sandeep Jagtap and
  • Pankaj B. Pathare

In banana cultivation, a considerable amount of the production is wasted every year because of various constraints present in the post-harvest management chain. Converting green banana pulp and peels into flour could help to reduce losses and enable...

  • Article
  • Open Access
12 Citations
4,190 Views
15 Pages

Use of Unmanned Aerial Vehicle for Pesticide Application in Soybean Crop

  • Luana de Lima Lopes,
  • João Paulo Arantes Rodrigues da Cunha and
  • Quintiliano Siqueira Schroden Nomelini

The use of unmanned aerial vehicles (UAVs) for pesticide application has increased substantially. However, there is a lack of technical information regarding the optimal operational parameters. The aim of this study was to evaluate the quality of pes...

  • Article
  • Open Access
22 Citations
5,179 Views
17 Pages

Multispectral Vegetation Indices and Machine Learning Approaches for Durum Wheat (Triticum durum Desf.) Yield Prediction across Different Varieties

  • Giuseppe Badagliacca,
  • Gaetano Messina,
  • Salvatore Praticò,
  • Emilio Lo Presti,
  • Giovanni Preiti,
  • Michele Monti and
  • Giuseppe Modica

Durum wheat (Triticum durum Desf.) is one of the most widely cultivated cereal species in the Mediterranean basin, supporting pasta, bread and other typical food productions. Considering its importance for the nutrition of a large population and prod...

  • Article
  • Open Access
7 Citations
2,366 Views
12 Pages

The Effects of Thermal and Pulsed Electric Field Processing on the Physicochemical and Microbial Properties of a High-Fiber, Nutritious Beverage from a Milk-Based Date Powder

  • Mahmoud Younis,
  • Isam A. Mohamed Ahmed,
  • Khaled A. Ahmed,
  • Hany M. Yehia,
  • Diaeldin O. Abdelkarim,
  • Abdulla Alhamdan and
  • Ahmed Elfeky

The effects of pulsed electric field treatment and thermal pasteurization on the microbial and physical properties of a high-fiber, nutritional milk-based beverage made with date powder were studied. Four ratios of date powder (10, 15, 20, and 25 w/w...

  • Article
  • Open Access
6 Citations
4,257 Views
20 Pages

Machine Learning for Precise Rice Variety Classification in Tropical Environments Using UAV-Based Multispectral Sensing

  • Arif K. Wijayanto,
  • Ahmad Junaedi,
  • Azwar A. Sujaswara,
  • Miftakhul B. R. Khamid,
  • Lilik B. Prasetyo,
  • Chiharu Hongo and
  • Hiroaki Kuze

An efficient assessment of rice varieties in tropical regions is crucial for selecting cultivars suited to unique environmental conditions. This study explores machine learning algorithms that leverage multispectral sensor data from UAVs to evaluate...

  • Article
  • Open Access
5 Citations
5,517 Views
11 Pages

Drying is a crucial and energy-consuming process in black tea manufacturing that is aimed at reducing moisture content and terminating enzymatic reactions in tea leaves. In Sri Lanka, an endless chain pressure (ECP) dryer is commonly used for drying,...

  • Article
  • Open Access
5 Citations
2,382 Views
18 Pages

Low Airspeed Impacts on Tom Turkey Response to Moderate Heat Stress

  • Derek Uemura,
  • Prafulla Regmi,
  • Jesse Grimes,
  • Lingjuan Wang-Li and
  • Sanjay Shah

Heat stress is a concern for turkeys in naturally ventilated houses. Chamber and room studies were used to assess heat stress at moderate temperatures (<25 °C) and low airspeeds on grown tom turkeys. In the chamber study, four ventilation rate...

  • Feature Paper
  • Article
  • Open Access
3 Citations
2,361 Views
16 Pages

Forage Properties of Fresh and Composted Cotton Gin Byproducts as Feed Supplements

  • Femi Peter Alege,
  • Sean Paul Donohoe,
  • Jaya Shankar Tumuluru,
  • Christopher D. Delhom,
  • Cody D. Blake and
  • Joe W. Thomas

Cotton ginning generates millions of tons of byproducts every year. If not properly managed, these materials become waste, which may constitute significant environmental, economic, and logistical issues. The objectives of this study were to character...

  • Article
  • Open Access
2 Citations
2,557 Views
12 Pages

A Machine Learning Approach for the Estimation of Alfalfa Hay Crop Yield in Northern Nevada

  • Diego Quintero,
  • Manuel A. Andrade,
  • Uriel Cholula and
  • Juan K. Q. Solomon

Increasing pressure over water resources in the western U.S. is currently forcing alfalfa (Medicago sativa L.) producers to adopt water-saving irrigation techniques. Crop yield forecasting tools can be used to develop smart irrigation scheduling meth...

  • Article
  • Open Access
12 Citations
4,594 Views
18 Pages

Cost Analysis of Using UAV Sprayers for Olive Fruit Fly Control

  • Chris Cavalaris,
  • Aristotelis C. Tagarakis,
  • Dimitrios Kateris and
  • Dionysis Bochtis

Unmanned Aerial Vehicles (UAVs) are a novel up-and-coming technology with wide applicability and great potential to be used in agricultural systems for spraying applications. However, the cost-effectiveness of this application is still rather uncerta...

  • Article
  • Open Access
4 Citations
5,747 Views
16 Pages

Crop Yield Assessment Using Field-Based Data and Crop Models at the Village Level: A Case Study on a Homogeneous Rice Area in Telangana, India

  • Roja Mandapati,
  • Murali Krishna Gumma,
  • Devender Reddy Metuku,
  • Pavan Kumar Bellam,
  • Pranay Panjala,
  • Sagar Maitra and
  • Nagaraju Maila

Crop yield estimation has gained importance due to its vital significance for policymakers and decision-makers in enacting schemes, ensuring food security, and assessing crop insurance losses due to biotic and abiotic stress. This research focused on...

  • Article
  • Open Access
1 Citations
2,427 Views
16 Pages

Evaluation of the Accuracy of the Remote Determination of the Brewster Angle When Measuring Physicochemical Parameters of Soil

  • Gennadiy Ivanovich Linets,
  • Anatoliy Vyacheslavovich Bazhenov,
  • Sergey Vladimirovich Malygin,
  • Natalia Vladimirovna Grivennaya,
  • Sergey Vladimirovich Melnikov and
  • Vladislav Dmitrievich Goncharov

In precision farming technology, the moisture of the soil, its granulometric composition, specific conductivity and a number of other physical and chemical parameters are determined using remote radar sensing. The most important parameters are those...

  • Article
  • Open Access
6 Citations
3,799 Views
14 Pages

Testing the Efficacy of a Prototype That Combines Ultrasound and Pulsed Electric Field for Extracting Valuable Compounds from Mitragyna speciosa Leaves

  • Raweeroj Jintawiwat,
  • Natnakorn Punamorntarakul,
  • Rossakornpat Hirunyasiri,
  • Parkpoom Jarupoom,
  • Tanachai Pankasemsuk,
  • Supakiat Supasin and
  • Arthitaya Kawee-ai

This work aimed to test the efficacy of an ultrasound (US) and pulsed electric field (PEF) apparatus to extract mitragynine from dried Mitragyna speciosa cv. Karn Dang leaves. Four modes of the device were tested: PEF, US, US + PEF, and PEF + US, and...

  • Article
  • Open Access
6 Citations
3,327 Views
14 Pages

The present study aimed to investigate an alternative evaporative cooling pad material made from mangosteen peel (MP) waste. Mangosteen peels were used to fill a 150 mm thick mesh container with a packing density of 180 kg/m3. A wind tunnel was const...

  • Article
  • Open Access
6 Citations
2,648 Views
19 Pages

Segmentation of Leaves and Fruits of Tomato Plants by Color Dominance

  • Juan Pablo Guerra Ibarra,
  • Francisco Javier Cuevas de la Rosa and
  • Oziel Arellano Arzola

The production of food generated by agriculture has been essential for civilizations throughout time. Tillage of fields has been supported by great technological advances in several areas of knowledge, which have increased the amount of food produced...

  • Article
  • Open Access
2 Citations
2,056 Views
14 Pages

Egg production is a significant source of animal protein for human consumption. Feed costs significantly impact the profitability of egg production, representing more than 70% of the variable costs. This study evaluated the effect of dietary intakes...

  • Article
  • Open Access
8 Citations
4,070 Views
19 Pages

System of Counting Green Oranges Directly from Trees Using Artificial Intelligence

  • Matheus Felipe Gremes,
  • Igor Rossi Fermo,
  • Rafael Krummenauer,
  • Franklin César Flores,
  • Cid Marcos Gonçalves Andrade and
  • Oswaldo Curty da Motta Lima

Agriculture is one of the most essential activities for humanity. Systems capable of automatically harvesting a crop using robots or performing a reasonable production estimate can reduce costs and increase production efficiency. With the advancement...

  • Review
  • Open Access
23 Citations
6,663 Views
24 Pages

Optical Methods for the Detection of Plant Pathogens and Diseases (Review)

  • Sergey V. Gudkov,
  • Tatiana A. Matveeva,
  • Ruslan M. Sarimov,
  • Alexander V. Simakin,
  • Evgenia V. Stepanova,
  • Maksim N. Moskovskiy,
  • Alexey S. Dorokhov and
  • Andrey Yu. Izmailov

Plant diseases of an infectious nature are the reason for major economic losses in agriculture throughout the world. The early, rapid and non-invasive detection of diseases and pathogens is critical for effective control. Optical diagnostic methods h...

  • Article
  • Open Access
13 Citations
5,462 Views
23 Pages

Effective crop monitoring and accurate yield estimation are fundamental for informed decision-making in agricultural management. In this context, the present research focuses on estimating wheat yield in Nepal at the district level by combining Senti...

  • Article
  • Open Access
11 Citations
4,610 Views
12 Pages

Relationship between Leaf Area Index and Yield Components in Farmers’ Paddy Fields

  • Naoyuki Hashimoto,
  • Yuki Saito,
  • Shuhei Yamamoto,
  • Taro Ishibashi,
  • Ruito Ito,
  • Masayasu Maki and
  • Koki Homma

Estimation of rice yield components is required to optimize cultivation management in fields. The leaf area index (LAI) can be a parameter for this estimation, but it has not been evaluated in farmers’ fields. In this study, we analyzed the rel...

  • Article
  • Open Access
2 Citations
2,355 Views
17 Pages

Use of Visible Spectral Index and Soybean Plant Variables to Study Hidden Nematicide Phytotoxicity

  • Ernane Miranda Lemes,
  • Maria Amélia dos Santos,
  • Lísias Coelho,
  • Samuel Lacerda de Andrade,
  • Aline dos Santos Oliveira,
  • Igor Diniz Pessoa and
  • João Paulo Arantes Rodrigues Cunha

Significant crop losses are due to plant-parasitic nematodes. Nematicides are expensive and potentially toxic to men, the environment, and plants. This study evaluated the hidden phytotoxicity effects of nematicides in soybeans. Two soybean cultivars...

  • Article
  • Open Access
13 Citations
4,385 Views
24 Pages

An Artificial Neural Network for Predicting Groundnut Yield Using Climatic Data

  • Hirushan Sajindra,
  • Thilina Abekoon,
  • Eranga M. Wimalasiri,
  • Darshan Mehta and
  • Upaka Rathnayake

30 September 2023

Groundnut, being a widely consumed oily seed with significant health benefits and appealing sensory profiles, is extensively cultivated in tropical regions worldwide. However, the yield is substantially impacted by the changing climate. Therefore, pr...

  • Article
  • Open Access
1 Citations
1,678 Views
19 Pages

Load-Out and Hauling Cost Increase with Increasing Feedstock Production Area

  • John S. Cundiff,
  • Robert D. Grisso,
  • Jonathan P. Resop and
  • John Ignosh

29 September 2023

The impact of average delivered feedstock cost on the overall financial viability of biorefineries is the focus of this study, and it is explored by modeling the efficient delivery of round bales of herbaceous biomass to a hypothetical biorefinery in...

  • Article
  • Open Access
20 Citations
6,252 Views
17 Pages

Chicken Tracking and Individual Bird Activity Monitoring Using the BoT-SORT Algorithm

  • Allan Lincoln Rodrigues Siriani,
  • Isabelly Beatriz de Carvalho Miranda,
  • Saman Abdanan Mehdizadeh and
  • Danilo Florentino Pereira

29 September 2023

The analysis of chicken movement on the farm has several applications in evaluating the well-being and health of birds. Low locomotion may be associated with locomotor problems, and undesirable bird movement patterns may be related to environmental d...

  • Article
  • Open Access
2 Citations
2,106 Views
14 Pages

Bedding Management for Suppressing Particulate Matter in Cage-Free Hen Houses

  • Ramesh Bahadur Bist,
  • Prafulla Regmi,
  • Darrin Karcher,
  • Yangyang Guo,
  • Amit Kumar Singh,
  • Casey W. Ritz,
  • Woo Kyun Kim,
  • Deana R. Jones and
  • Lilong Chai

28 September 2023

Cage-free (CF) layer houses tend to have high particulate matter (PM) levels because of bedding/litter floor and the birds’ activities, such as perching, dustbathing, and foraging on it. It has been reported that optimizing bedding management c...

  • Article
  • Open Access
13 Citations
4,222 Views
19 Pages

Detection of Varroa destructor Infestation of Honeybees Based on Segmentation and Object Detection Convolutional Neural Networks

  • Mochen Liu,
  • Mingshi Cui,
  • Baohua Xu,
  • Zhenguo Liu,
  • Zhenghao Li,
  • Zhenyuan Chu,
  • Xinshan Zhang,
  • Guanlu Liu,
  • Xiaoli Xu and
  • Yinfa Yan

26 September 2023

Varroa destructor infestation is a major factor leading to the global decline of honeybee populations. Monitoring the level of Varroa mite infestation in order to take timely control measures is crucial for the protection of bee colonies. Machine vis...

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AgriEngineering - ISSN 2624-7402