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AgriEngineering, Volume 7, Issue 2

2025 February - 27 articles

Cover Story: This study introduces a robotic machine vision technique designed to improve poultry production. The method combines a robot with multiple YOLOv8 network-based detectors, which were applied to identify dead chickens and floor eggs in cage-free housing systems. The accuracy of detectors ranges from 85% to 91%. The new system is capable of effectively detecting floor eggs, whether on the litter or under feeders, and can also identify dead chickens in corners. The research demonstrates how intelligent bionic quadruped robots can help address the challenges of detecting floor eggs and dead chickens in cage-free environments. The findings offer a precision poultry farming strategy for poultry and egg producers to enhance the automatic detection and localization of dead chickens and floor eggs. View this paper
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Articles (27)

  • Article
  • Open Access
3,378 Views
25 Pages

Classification of Tomato Harvest Timing Using an AI Camera and Analysis Based on Experimental Results

  • Yasuhiro Okabe,
  • Takefumi Hiraguri,
  • Keita Endo,
  • Tomotaka Kimura and
  • Daisuke Hayashi

Smart agriculture has the potential to solve labor shortages and improve production efficiency and prices at the time of shipment. Predicting tomato yields during the cultivation period is crucial for planning shipment volumes and costs in advance. W...

  • Article
  • Open Access
3 Citations
1,385 Views
12 Pages

High-Precision Phenotyping in Soybeans: Applying Multispectral Variables Acquired at Different Phenological Stages

  • Celí Santana Silva,
  • Dthenifer Cordeiro Santana,
  • Fábio Henrique Rojo Baio,
  • Ana Carina da Silva Cândido Seron,
  • Rita de Cássia Félix Alvarez,
  • Larissa Pereira Ribeiro Teodoro,
  • Carlos Antônio da Silva Junior and
  • Paulo Eduardo Teodoro

Soybean stands out for being the most economically important oilseed in the world. Remote sensing techniques and precision agriculture are being analyzed through research in different agricultural regions as a technological system aiming at productiv...

  • Article
  • Open Access
1 Citations
1,489 Views
21 Pages

Scenario Generation and Autonomous Control for High-Precision Vineyard Operations

  • Carlos Ruiz Mayo,
  • Federico Cheli,
  • Stefano Arrigoni,
  • Francesco Paparazzo,
  • Simone Mentasti and
  • Marco Ezio Pezzola

Precision Farming (PF) in vineyards represents an innovative approach to vine cultivation that leverages the advantages of the latest technologies to optimize resource use and improve overall field management. This study investigates the application...

  • Article
  • Open Access
1 Citations
2,542 Views
31 Pages

Development and Validation of Data Acquisition System for Real-Time Thermal Environment Monitoring in Animal Facilities

  • Carlos Eduardo Alves Oliveira,
  • Thalya Aleixo Avelar,
  • Ilda de Fátima Ferreira Tinôco,
  • André Luiz de Freitas Coelho,
  • Fernanda Campos de Sousa and
  • Matteo Barbari

In animal facilities, monitoring and controlling the thermal environment are essential in ensuring productivity and sustainability. However, many production units face challenges in implementing and maintaining effective thermal monitoring and contro...

  • Article
  • Open Access
1 Citations
2,780 Views
24 Pages

Innovative Flood Impact Monitoring and Harvest Analysis in Oil Palm Plantations Utilizing Geographic Information Systems and Deep Learning

  • Supattra Puttinaovarat,
  • Supaporn Chai-Arayalert,
  • Wanida Saetang,
  • Kanit Khaimook,
  • Sasikarn Plaiklang and
  • Paramate Horkaew

Floods, as a form of disaster, significantly affect individuals and farmers in impacted areas, particularly through crop damage and the inability to harvest due to prolonged and extensive flooding. Among the most severely affected agricultural sector...

  • Systematic Review
  • Open Access
8 Citations
12,574 Views
23 Pages

Hydroponics, a soilless cultivation method, relies on precise nutrient management to optimize plant growth. This study provides a systematic scoping review of automated hydroponic nutrient dosing systems, focusing on potential of hydrogen (pH) and el...

  • Article
  • Open Access
1 Citations
1,189 Views
14 Pages

Basal Cut Prediction of a Sugarcane Culm via Numerical Simulations

  • Alexandre Assis Rezende Santos,
  • Andre Luiz Gonçalves Costa,
  • Ednilton Tavares de Andrade,
  • Fabio Lucio Santos and
  • Ricardo Rodrigues Magalhães

Brazil is the world’s largest sugarcane producer, with 45.71 million tons of sugar and 29.7 billion liters of ethanol in 2023. To meet growing demand while addressing environmental concerns, sugarcane mechanical harvesting demands new research...

  • Article
  • Open Access
1 Citations
1,487 Views
17 Pages

Modeling Water Distribution Uniformity of Medium-Sized Sprinklers Using Artificial Neural Networks

  • Lessandro Coll Faria,
  • José Henrique Nunes Flores,
  • Erick Costa Fuga,
  • Bernardo Gomes Nörenberg,
  • Samuel Beskow,
  • Henrique Fonseca Elias de Oliveira,
  • Giuliani do Prado and
  • Alberto Colombo

Artificial neural network-(ANN) simulation models have been successfully applied in various fields, including agricultural sciences. This study evaluated the applicability of an artificial neural network for predicting water distribution uniformity i...

  • Article
  • Open Access
7 Citations
2,730 Views
19 Pages

Comparative Analysis of Vibration Impact on Operator Safety for Diesel and Electric Agricultural Tractors

  • Teofil-Alin Oncescu,
  • Ioan Catalin Persu,
  • Stefan Bostina,
  • Sorin Stefan Biris,
  • Marius-Valentin Vilceleanu,
  • Florin Nenciu,
  • Mihai-Gabriel Matache and
  • Daniela Tarnita

The present paper investigates the comparative impact of vibrations on operator safety for two diesel and electric agricultural tractors under real operating conditions. Vibrations were measured using four triaxial accelerometers installed at critica...

  • Technical Note
  • Open Access
2 Citations
3,972 Views
13 Pages

LeafLaminaMap: Exploring Leaf Color Patterns Using RGB Color Indices

  • Péter Bodor-Pesti,
  • Lien Le Phuong Nguyen,
  • Thanh Ba Nguyen,
  • Mai Sao Dam,
  • Dóra Taranyi and
  • László Baranyai

The color of the plant leaves is a major concern in many areas of agriculture. Pigmentation and its pattern provide the possibility to distinguish genotypes and a basis for annual crop management practices. For example, the nutrient and water status...

  • Article
  • Open Access
1,365 Views
18 Pages

Experimentation and Analysis of Physical Properties Related to Quinoa Straws

  • Bin Sun,
  • Chuanzhi Xi,
  • Zengcun Chang,
  • Pengcheng Ji,
  • Zeqi Liu,
  • Guanzheng Shi,
  • Xianjie Li,
  • Nan Xu and
  • Dongwei Wang

To study the cutting mechanical properties of quinoa straw and reduce the cutting force and unit area cutting power consumption of quinoa straw, this study took quinoa from low-altitude areas as the research object. Through observation and experiment...

  • Article
  • Open Access
4 Citations
2,575 Views
14 Pages

Fusarium head blight (FHB) is a serious fungal disease of wheat and other small cereal grains, significantly reducing grain yield and producing mycotoxins that affect food safety. There is a need for disease detection technologies to determine the ri...

  • Article
  • Open Access
2 Citations
2,957 Views
23 Pages

This study introduces a novel graph-based innovative trend analysis (GBITA) technique for detecting trends in time series data, thus fundamentally challenging conventional assumptions in trend assessment. Unlike traditional methods, which often rely...

  • Article
  • Open Access
3 Citations
3,635 Views
15 Pages

Precision Monitoring of Dead Chickens and Floor Eggs with a Robotic Machine Vision Method

  • Xiao Yang,
  • Jinchang Zhang,
  • Bidur Paneru,
  • Jiakai Lin,
  • Ramesh Bahadur Bist,
  • Guoyu Lu and
  • Lilong Chai

Modern poultry and egg production is facing challenges such as dead chickens and floor eggs in cage-free housing. Precision poultry management strategies are needed to address those challenges. In this study, convolutional neural network (CNN) models...

  • Article
  • Open Access
2 Citations
1,601 Views
20 Pages

An Integrated Statistical, Geostatistical and Hydrogeological Approach for Assessing and Modelling Groundwater Salinity and Quality in Nile Delta Aquifer

  • Sameh Shaddad,
  • Annamaria Castrignanò,
  • Diego Di Curzio,
  • Sergio Rusi,
  • Hend S. Abu Salem and
  • Ahmed M. Nosair

The phenomenon of seawater intrusion is becoming increasingly problematic, particularly in low-lying coastal regions and areas that rely heavily on aquifers for their freshwater supply. It is, therefore, vital to address the causes and consequences o...

  • Article
  • Open Access
1 Citations
2,520 Views
19 Pages

The Application of Machine Learning to Model the Impacts of Extreme Climatic Events on the Productivity of Dwarf Green Coconut Trees in the Eastern Amazon

  • Maryelle Kleyce M. Nery,
  • Gabriel S. T. Fernandes,
  • João V. de N. Pinto,
  • Matheus L. Rua,
  • Miguel Gabriel M. Santos,
  • Luis Roberto T. Ribeiro,
  • Leandro M. Navarro,
  • Paulo Jorge O. P. de Souza and
  • Glauco de S. Rolim

The coconut crop (Cocos nucifera L.) is essential in humid tropical regions, contributing to the economy and food security. However, its perennial nature makes it sensitive to climate variability, particularly extreme events that affect productivity....

  • Article
  • Open Access
2,087 Views
17 Pages

In agricultural automation, autonomous tractors play a crucial role in enhancing farming efficiency, particularly through the navigation and identification of tillage boundaries. Traditional approaches rely on machine vision techniques to identify pa...

  • Article
  • Open Access
5 Citations
1,812 Views
17 Pages

An Intelligent Group Learning Framework for Detecting Common Tomato Diseases Using Simple and Weighted Majority Voting with Deep Learning Models

  • Seyed Mohamad Javidan,
  • Yiannis Ampatzidis,
  • Ahmad Banakar,
  • Keyvan Asefpour Vakilian and
  • Kamran Rahnama

Plant diseases pose significant economic challenges and may lead to ecological consequences. Although plant pathologists have a significant ability to diagnose plant diseases, rapid, accurate, and early diagnosis of plant diseases by intelligent syst...

  • Article
  • Open Access
2 Citations
1,805 Views
17 Pages

Tracking Long-Distance Systematic Trajectories of Different Robot Mower Patterns with Enhanced Custom-Built Software

  • Sofia Matilde Luglio,
  • Christian Frasconi,
  • Lorenzo Gagliardi,
  • Michele Raffaelli,
  • Andrea Peruzzi,
  • Stefano Pieri,
  • Marco Volterrani,
  • Simone Magni and
  • Marco Fontanelli

Sustainable turfgrass management is essential for maintaining healthy and visually appealing green spaces. Autonomous mowers have emerged as an innovative solution, but the efficiency and quality of mowing operations depend on several factors. This s...

  • Article
  • Open Access
8 Citations
10,138 Views
16 Pages

AI-Driven Insect Detection, Real-Time Monitoring, and Population Forecasting in Greenhouses

  • Dimitrios Kapetas,
  • Panagiotis Christakakis,
  • Sofia Faliagka,
  • Nikolaos Katsoulas and
  • Eleftheria Maria Pechlivani

Insecticide use in agriculture has significantly increased over the past decades, reaching 774 thousand metric tons in 2022. This widespread reliance on chemical insecticides has substantial economic, environmental, and human health consequences, hig...

  • Article
  • Open Access
1 Citations
1,838 Views
19 Pages

Analysis of Olive Detachment Force to Improve Olive Shaker Efficiency Through Branch Modeling

  • Giuseppe Macoretta,
  • Sofia Matilde Luglio,
  • Federico Conforti,
  • Michele Abruzzo,
  • Lorenzo Gagliardi,
  • Marco Fontanelli and
  • Michele Raffaelli

Mechanical shaking enables efficient harvesting of olives, especially in hilly regions where automated farming is not feasible. This study delves into branch and olive detachment modeling to enhance the efficiency of a hand-held branch shaker. Shakin...

  • Article
  • Open Access
3 Citations
2,250 Views
16 Pages

Soil Structure Analysis with Attention: A Deep-Learning-Based Method for 3D Pore Segmentation and Characterization

  • Italo Francyles Santos da Silva,
  • Alan de Carvalho Araújo,
  • João Dallyson Sousa de Almeida,
  • Anselmo Cardoso de Paiva,
  • Aristófanes Corrêa Silva and
  • Deane Roehl

The pore structure plays a crucial role in soil systems. It affects a range of processes essential for soil ecological functions, such as the transport and retention of water and nutrients, as well as gas exchanges. The mechanical and hydrological ch...

  • Article
  • Open Access
1 Citations
1,486 Views
13 Pages

Treatment of Ferruginous Water in the Performance of Drip Irrigation Systems

  • Elio de Almeida Cordeiro,
  • Everardo Chartuni Mantovani,
  • Gustavo Haddad Souza Vieira,
  • José Geraldo Ferreira da Silva,
  • Ismail Ramalho Haddade and
  • Paola Alfonsa Vieira Lo Monaco

One of the most important advantages of drip irrigation is the possibility of achieving a high uniformity of water distribution. However, this uniformity can be reduced when using water with high iron content, which can cause drippers to clog. This s...

  • Article
  • Open Access
2,120 Views
22 Pages

Integrated Model to Reduce the Maneuver Time of the Harvester and Infield Wagon in Sugarcane Harvest

  • Lígia Negri Corrêa,
  • Adão Felipe dos Santos,
  • Carlos Eduardo Angeli Furlani,
  • Glauco de Souza Rolim,
  • Igor Cristian de Oliveira Vieira,
  • Breno dos Santos Silva,
  • Frederico Luiz Siansi and
  • Rouverson Pereira da Silva

This study aims to enhance the efficiency of mechanized sugarcane (Saccharum spp.) harvesting by optimizing the maneuvers of the auxiliary vehicle (infield wagon) operating in tandem with the harvester. The optimization focuses on increasing producti...

  • Article
  • Open Access
5 Citations
1,906 Views
22 Pages

Advanced Deep Learning Methods for Multiple Behavior Classification of Cage-Free Laying Hens

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

The welfare of hens in cage-free systems is closely linked to their behaviors, such as feeding, drinking, pecking, perching, bathing, preening, and foraging. To monitor these behaviors, we developed and evaluated deep learning models based on YOLO (Y...

  • Article
  • Open Access
4 Citations
3,181 Views
18 Pages

Segmentation of Wheat Rust Disease Using Co-Salient Feature Extraction

  • Hirra Anwar,
  • Haseeb Muhammad,
  • Muhammad Mohsin Ghaffar,
  • Muhammad Ali Afridi,
  • Muhammad Jawad Khan,
  • Christian Weis,
  • Norbert Wehn and
  • Faisal Shafait

Wheat Stripe Rust Disease (WRD) poses a significant threat to wheat crops, causing substantial yield losses and can result in total crop damage if not detected early. The localization of WRD-infected areas is a labor-intensive and time-consuming task...

  • Article
  • Open Access
9 Citations
5,650 Views
17 Pages

Effective spraying is an important component of precision agriculture, directly influencing the efficiency of the spray materials. Despite their potential, optimal settings for sprayer drones remain underexplored due to limited research data. This st...

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AgriEngineering - ISSN 2624-7402