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AgriEngineering, Volume 7, Issue 5

2025 May - 37 articles

Cover Story: Armillaria root rot (ARR) is a fungal disease that causes peach tree decline by damaging root systems and reducing tree longevity. Planting peach trees on raised berms and excavating soil around the root collar can help manage ARR; however, berms also create challenges such as water ponding, soil erosion and chemical runoff. A tractor-mounted rotary tillage system with a custom paddle wheel attachment was developed to level berms and improve orchard operations. Field trials were conducted to evaluate the effects of varying paddle wheel and tractor ground speeds. Paddle wheel speed affected torque and power requirements to a greater extent than did tractor ground speed. Using a medium setting for the paddle wheel and tractor speeds yielded the best results, making it the ideal option. View this paper
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Articles (37)

  • Article
  • Open Access
2,915 Views
32 Pages

A Groundbreaking Comparative Investigation of Manual Versus Mechanized Grape Harvesting: Unraveling Their Impact on Must Composition, Enological Quality, and Economic Viability in Modern Romanian Viticulture

  • Călin Gheorghe Topan,
  • Claudiu Ioan Bunea,
  • Adriana Paula David,
  • Anamaria Călugăr,
  • Anca Cristina Babeș,
  • Maria Popescu,
  • Flavius Ruben Mateaș,
  • Alexandru Nicolescu and
  • Florin Dumitru Bora

This study evaluates the impact of grape variety and harvesting method—manual versus mechanized—on must composition, wine quality, and economic performance in the Târnave viticultural area of Romania. Four grape varieties—Pino...

  • Article
  • Open Access
2 Citations
3,262 Views
17 Pages

Improving Water Use and Sugarcane Yield Using Irrigation Strategies in Nicaragua

  • Rafael Menezes Pereira,
  • Felipe Schwerz,
  • Adriano Valentim Diotto,
  • Carolina Altamirano Oñate,
  • Marlon Daniel Vargas Sandoval,
  • Braulio Otomar Caron and
  • Bernardo Cândido

One of the greatest challenges in crop science worldwide is balancing crop production and water management. In the context of sustainability and vertical production growth, understanding water relations is fundamental for improving crop management in...

  • Review
  • Open Access
3 Citations
3,493 Views
19 Pages

Applicability of Technological Tools for Digital Agriculture with a Focus on Estimating the Nutritional Status of Plants

  • Bianca Cavalcante da Silva,
  • Renato de Mello Prado,
  • Cid Naudi Silva Campos,
  • Fábio Henrique Rojo Baio,
  • Larissa Pereira Ribeiro Teodoro,
  • Paulo Eduardo Teodoro and
  • Dthenifer Cordeiro Santana

The global transition to a digital era is crucial for society, as most daily activities are driven by digital technologies aimed at enhancing productivity and efficiency in the production of food, fibers, and bioenergy. However, the segregation of di...

  • Article
  • Open Access
3 Citations
2,167 Views
18 Pages

Application of NDVI for Early Detection of Yellow Rust (Puccinia striiformis)

  • Asparuh I. Atanasov,
  • Atanas Z. Atanasov and
  • Boris I. Evstatiev

Yellow rust is one of the most destructive fungal diseases affecting wheat, significantly reducing yield and grain quality. Early detection is crucial for effective plant protection and disease management. This study aims to develop and validate a me...

  • Article
  • Open Access
8 Citations
5,762 Views
25 Pages

A Robust Ensemble Model for Plant Disease Detection Using Deep Learning Architectures

  • Fida Zubair,
  • Moutaz Saleh,
  • Younes Akbari and
  • Somaya Al Maadeed

This study explores advanced methods for plant disease classification by integrating pre-trained deep learning models and leveraging ensemble learning. After a comprehensive review of deep learning methods in this area, the InceptionResNetV2, MobileN...

  • Article
  • Open Access
1 Citations
2,673 Views
17 Pages

Spatial Distribution of Greenhouse Gas Emissions and Environmental Variables in Compost Barn Dairy Systems

  • Ana Luíza Guimarães André,
  • Patrícia Ferreira Ponciano Ferraz,
  • Gabriel Araujo e Silva Ferraz,
  • Jacqueline Cardoso Ferreira,
  • Franck Morais de Oliveira,
  • Eduardo Mitke Brandão Reis,
  • Matteo Barbari and
  • Giuseppe Rossi

The dairy sector plays a fundamental role in the economic development of numerous regions by creating jobs and sustaining the livelihoods of millions of people. However, concerns related to animal welfare and environmental sustainability—partic...

  • Article
  • Open Access
1 Citations
1,621 Views
16 Pages

Effect of Application Techniques on Spray Quality Optimization in Sweet Pepper Cultivation in Protected Environments

  • Gustavo Dario,
  • Luciano Del Bem Junior,
  • Flávio Nunes da Silva,
  • Matheus Mereb Negrisoli,
  • Evandro Pereira Prado,
  • Fagner Angelo da Silva e Oliveira,
  • Maria Márcia Pereira Sartori,
  • José Francisco Velásquez Sierra and
  • Carlos Gilberto Raetano

Air assistance and electrical charge transfer to droplets can optimize pesticide applications and reduce losses in sweet pepper cultivation. The objective of this study was to evaluate the effects of spray rate and pneumatic spraying with and without...

  • Article
  • Open Access
6 Citations
4,323 Views
23 Pages

Predictive Modeling of Climate-Driven Crop Yield Variability Using DSSAT Towards Sustainable Agriculture

  • Safa E. El-Mahroug,
  • Ayman A. Suleiman,
  • Mutaz M. Zoubi,
  • Saif Al-Omari,
  • Qusay Y. Abu-Afifeh,
  • Heba F. Al-Jawaldeh,
  • Yazan A. Alta’any,
  • Tariq M. F. Al-Nawaiseh,
  • Nisreen Obeidat and
  • Rakad Ta’any
  • + 3 authors

Climate change poses a significant threat to agricultural productivity, particularly in regions vulnerable to extreme temperatures and water scarcity, such as Irbid, Jordan. This study assesses the future impacts of projected shifts in precipitation...

  • Article
  • Open Access
4 Citations
1,780 Views
17 Pages

Visible and Near-Infrared Spectroscopy for Investigation of Water and Nitrogen Stress in Tomato Plants

  • Stefka Atanassova,
  • Antoniya Petrova,
  • Dimitar Yorgov,
  • Roksana Mineva and
  • Petya Veleva

The main objective of this study was to evaluate the possibilities of visible-near-infrared spectroscopy for investigating water and nitrogen stress in tomato plants. Two varieties of tomato plants (Red Bounty and Manusa) were grown in a greenhouse....

  • Article
  • Open Access
2 Citations
1,625 Views
21 Pages

Canopy Transpiration Mapping in an Apple Orchard Using High-Resolution Airborne Spectral and Thermal Imagery with Weather Data

  • Abhilash K. Chandel,
  • Lav R. Khot,
  • Claudio O. Stöckle,
  • Lee Kalcsits,
  • Steve Mantle,
  • Anura P. Rathnayake and
  • Troy R. Peters

Precision irrigation requires reliable estimates of crop evapotranspiration (ET) using site-specific crop and weather data inputs. Such estimates are needed at high resolutions which have been minimally explored for heterogeneous crops such as orchar...

  • Article
  • Open Access
4 Citations
2,345 Views
20 Pages

Lightweight Pepper Disease Detection Based on Improved YOLOv8n

  • Yuzhu Wu,
  • Junjie Huang,
  • Siji Wang,
  • Yujian Bao,
  • Yizhe Wang,
  • Jia Song and
  • Wenwu Liu

China is the world’s largest producer of chili peppers, which occupy particularly important economic and social values in various fields such as medicine, food, and industry. However, during its production process, chili peppers are affected by...

  • Article
  • Open Access
3 Citations
1,909 Views
15 Pages

This study presents the development of a system based on convolutional neural networks for the automated detection and counting of Gossypium barbadense fruits, specifically the IPA cotton variety, during its maturation stage, known as “mota&rdq...

  • Article
  • Open Access
4 Citations
1,873 Views
28 Pages

This study presents a remote sensing (RS) approach for monitoring invasive aquatic species and assessing their impact on water quality in the Lis Valley Irrigation District (LVID), Portugal. Using high-resolution PlanetScope imagery (3.7 m resolution...

  • Article
  • Open Access
1 Citations
2,097 Views
24 Pages

Using Sentinel-1 Time Series Data for the Delineation of Management Zones

  • Juliano de Paula Gonçalves,
  • Francisco de Assis de Carvalho Pinto,
  • Daniel Marçal de Queiroz and
  • Domingos Sárvio Magalhães Valente

The characterization of soil attribute variability often requires dense sampling grids, which can be economically unfeasible. A possible solution is to perform targeted sampling based on previously collected data. The objective of this research was t...

  • Article
  • Open Access
2 Citations
2,246 Views
21 Pages

A Cloud Computing Framework for Space Farming Data Analysis

  • Adrian Genevie Janairo,
  • Ronnie Concepcion,
  • Marielet Guillermo and
  • Arvin Fernando

This study presents a system framework by which cloud resources are utilized to analyze crop germination status in a 2U CubeSat. This research aims to address the onboard computing constraints in nanosatellite missions to boost space agricultural pra...

  • Article
  • Open Access
4 Citations
1,277 Views
17 Pages

Design and Experiment of a Dual-Disc Potato Pickup and Harvesting Device

  • Xianjie Li,
  • Abouelnadar Salem,
  • Yi Liu,
  • Bin Sun,
  • Guanzheng Shi,
  • Xiaoning He,
  • Dongwei Wang and
  • Zengcun Chang

To address the inefficiency and high cost of manual potato pickup in segmented harvesting, a dual-disc potato pickup and harvesting device was designed. The device utilizes counter-rotating dual discs to gather and preliminarily lift the potato&ndash...

  • Article
  • Open Access
1 Citations
1,607 Views
15 Pages

Detection of Tagosodes orizicolus in Aerial Images of Rice Crops Using Machine Learning

  • Angig Rivera-Cartagena,
  • Heber I. Mejia-Cabrera and
  • Juan Arcila-Diaz

This study employs RGB imagery and machine learning techniques to detect Tagosodes orizicolus infestations in “Tinajones” rice crops during the flowering stage, a critical challenge for agriculture in northern Peru. High-resolution images...

  • Article
  • Open Access
3 Citations
2,639 Views
38 Pages

Valorization of Edible Oil Industry By-Products Through Optimizing the Protein Recovery from Sunflower Press Cake via Different Novel Extraction Methods

  • Christoforos Vasileiou,
  • Maria Dimoula,
  • Christina Drosou,
  • Eleni Kavetsou,
  • Chrysanthos Stergiopoulos,
  • Eleni Gogou,
  • Christos Boukouvalas and
  • Magdalini Krokida

Sunflower press cake (SPC), a by-product of the edible oil industry, represents a promising source of plant-based protein. This study aimed to investigate and optimize protein recovery from SPC using conventional (CE) and advanced extraction techniqu...

  • Article
  • Open Access
3 Citations
2,584 Views
24 Pages

Precision agriculture and advanced sowing technologies, including variable sowing rates, can be used to optimise sunflower yields by ensuring a uniform plant distribution, efficient resource utilisation, and adaptation to soil variability. These agro...

  • Article
  • Open Access
1,848 Views
23 Pages

While conventional sericulture has developed effective disinfection methods, the increasing demand for silk and pupae is driving mechanization, potentially altering or introducing silkworm pathogens. New disinfection strategies are essential for sust...

  • Article
  • Open Access
1 Citations
1,182 Views
20 Pages

Armillaria root rot (ARR) is a fungal disease caused by Desarmillaria caespitosa and the leading cause of peach tree decline in the Southeastern U.S. It affects the roots and lower stems of trees, leading to the decay of the tree’s root system....

  • Article
  • Open Access
2 Citations
1,465 Views
21 Pages

Physical–Mechanical Properties of Tomato Seedlings for the Design and Optimization of Automatic Transplanters

  • Gaudencio Grande,
  • Martín Hidalgo-Reyes,
  • Pedro Cruz and
  • Noé Velázquez-López

This study was based on the hypothesis that the hybrid type and its physical–mechanical properties significantly influence the operational efficiency of transplanting systems. Understanding these properties is essential for optimizing the perfo...

  • Review
  • Open Access
3 Citations
3,866 Views
23 Pages

Recent Developments and Future Prospects in the Integration of Machine Learning in Mechanised Systems for Autonomous Spraying: A Brief Review

  • Francesco Toscano,
  • Costanza Fiorentino,
  • Lucas Santos Santana,
  • Ricardo Rodrigues Magalhães,
  • Daniel Albiero,
  • Řezník Tomáš,
  • Martina Klocová and
  • Paola D’Antonio

The integration of machine learning (ML) into self-governing spraying systems is one of the major developments in digital precision agriculture that is significantly improving resource efficiency, sustainability, and production. This study looks at c...

  • Article
  • Open Access
1 Citations
1,236 Views
9 Pages

Efficiency and Reliability of Broiler Weighing Methods in Commercial Environments: A Comparative Evaluation

  • Isis Mariana Dombrowsky Leal Pasian,
  • Robson Mateus Freitas Silveira,
  • Jessica Nacarato Reple,
  • Hilton Tadeu Zarate Couto and
  • Iran José Oliveira da Silva

Measuring the weight of broilers is one of the most important yet labor-intensive metrics to monitor throughout a flock’s development. This study aimed to comparatively assess two broiler weighing systems in a commercial production system: an a...

  • Article
  • Open Access
3 Citations
2,288 Views
11 Pages

Validation of a Swine Cough Monitoring System Under Field Conditions

  • Luís F. C. Garrido,
  • Gabriel S. T. Rodrigues,
  • Leandro B. Costa,
  • Diego J. Kurtz and
  • Ruan R. Daros

Precision livestock farming technologies support health monitoring on farms, yet few studies have evaluated their effectiveness under field conditions using reliable gold standards. This study evaluated a commercially available technology for detecti...

  • Article
  • Open Access
2 Citations
1,744 Views
15 Pages

Methodological Advancements in Testing Agricultural Nozzles and Handling of Drop Size Distribution Data

  • Giovanna Mazzi,
  • Lorenzo Becce,
  • Ayesha Ali,
  • Mara Bortolini,
  • Elena Gregoris,
  • Matteo Feltracco,
  • Elena Barbaro,
  • Andreas Gronauer,
  • Andrea Gambaro and
  • Fabrizio Mazzetto

Plant protection products are necessary to guarantee food security, but their drift into the environment, usually in the form of aerosol, poses a threat to the health of bystanders and surrounding ecosystems. Appropriate testing of plant protection e...

  • Review
  • Open Access
18 Citations
10,861 Views
26 Pages

Advancing Precision Agriculture Through Digital Twins and Smart Farming Technologies: A Review

  • Muhammad Awais,
  • Xiuquan Wang,
  • Sajjad Hussain,
  • Farhan Aziz and
  • Muhammad Qasim Mahmood

The agricultural sector is evolving with the adoption of smart farming technologies, where Digital Twins (DTs) offer new possibilities for real-time monitoring, simulation, and decision-making. While previous research has explored the Internet of Thi...

  • Technical Note
  • Open Access
1,358 Views
13 Pages

Design and Initial Testing of Acoustically Stimulated Anaerobic Digestion Coupled with Effluent Aeration for Agricultural Wastewater Remediation

  • John H. Loughrin,
  • Philip J. Silva,
  • Stacy W. Antle,
  • Nanh Lovanh,
  • Matias B. Vanotti and
  • Karamat R. Sistani

The construction of an anaerobic digester coupled with post-digestion low-level aeration for agricultural wastewater treatment is described. The digester employs underwater speakers to accelerate the anaerobic digestion process while retaining solids...

  • Article
  • Open Access
1,298 Views
26 Pages

Design and Experimental Evaluation of a Two-Stage Domain-Segmented Harvesting Device for Densely Planted Dwarf Apple Orchards

  • Bingkun Yuan,
  • Hongjian Zhang,
  • Yanfang Li,
  • Xinpeng Cao,
  • Linlin Sun,
  • Linlong Jing,
  • Longzhen Xue,
  • Chunyang Liu,
  • Guiju Fan and
  • Jinxing Wang

To address the challenges of manual apple harvesting and the limitations of existing devices—such as constrained workspace, low efficiency, and limited flexibility—a two-stage, sub-region harvesting device was developed. The design, infor...

  • Article
  • Open Access
1 Citations
1,584 Views
36 Pages

Performance of Land Use and Land Cover Classification Models in Assessing Agricultural Behavior in the Alagoas Semi-Arid Region

  • José Lucas Pereira da Silva,
  • George do Nascimento Araújo Júnior,
  • Francisco Bento da Silva Junior,
  • Thieres George Freire da Silva,
  • Jéssica Bruna Alves da Silva,
  • Christopher Horvath Scheibel,
  • Marcos Vinícius da Silva,
  • Rafael Mingoti,
  • Pedro Rogerio Giongo and
  • Alexsandro Claudio dos Santos Almeida

The scarcity of information on agricultural development in the semi-arid region of Alagoas limits the spatial understanding of this activity. Government data are generally numerical and lack spatial detail. Remote sensing emerges as an efficient alte...

  • Article
  • Open Access
1 Citations
1,633 Views
20 Pages

Broiler gait score (GS) evaluation relies on manual assessments by experts, which can be laborious, hindering timely welfare management. Deep learning (DL) models, conversely, may serve as a cost-effective solution in evaluating GS via automated dete...

  • Article
  • Open Access
3 Citations
7,489 Views
20 Pages

Agri-Eco Energy: Evaluating Non-Edible Binders in Coconut Shell Biochar and Cinnamon Sawdust Briquettes for Sustainable Fuel Production

  • Lasitha Madhusanka,
  • Helitha Nilmalgoda,
  • Isuru Wijethunga,
  • Asanga Ampitiyawatta and
  • Kaveenga Koswattage

This study investigates the production of biomass briquettes using waste coconut shell charcoal and cinnamon sawdust, bound by eco-friendly, non-edible binders: cassava peel starch, giant taro starch, and pine resin. The production process involved c...

  • Article
  • Open Access
1,064 Views
25 Pages

Design and Experiment of the Codonopsis pilosula Outcrop Film-Laying and Transplanting Machine

  • Jiajia Bai,
  • Wei Sun,
  • Ming Zhao,
  • Luhai Zhang,
  • Juanling Wang and
  • Petru Aurelian Simionescu

A Codonopsis pilosula film-laying and outcrop transplantation machine is developed to solve problems, such as unstable quality of transplanted seedlings, high intensity of manual work, and low efficiency of work in the seedling transplantation of Cod...

  • Article
  • Open Access
1 Citations
1,143 Views
19 Pages

Artificial Neural Network and Mathematical Modeling to Estimate Losses in the Concentration of Bioactive Compounds in Different Tomato Varieties During Cooking

  • Vinícius Canato,
  • Alfredo Bonini Neto,
  • Julio Cesar Rocha Montagnani,
  • Jéssica Marques de Mello,
  • Vitória Ferreira da Silva Fávaro and
  • Angela Vacaro de Souza

Tomato is a crop with high potential to be used in various food industry co-products, such as sauces. In addition to increasing the supply of differentiated products, processed foods have improved shelf life. However, as a consequence of thermal proc...

  • Article
  • Open Access
3 Citations
2,771 Views
16 Pages

Circularity Between Aquaponics and Anaerobic Digestion for Energy Generation

  • Juliana Lobo Paes,
  • Cirlene Gomes Guimarães,
  • Alexia de Sousa Gomes,
  • Romulo Cardoso Valadão,
  • Daiane Cecchin and
  • Regina Menino

Aquaponics integrates aquaculture and hydroponics, promoting circularity through the recirculation of water and nutrients. However, waste management remains a challenge. This study aimed to evaluate the anaerobic digestion (AD) of aquaponic effluent...

  • Article
  • Open Access
2 Citations
1,536 Views
21 Pages

The integration of a centrifugal extraction and pipeline transportation system to improve efficiency in shrimp harvesting management into closed-pond aquaculture systems represents a significant advancement in aquaculture technology. This study intro...

  • Article
  • Open Access
2 Citations
2,185 Views
20 Pages

Computer Vision and Transfer Learning for Grading of Egyptian Cotton Fibres

  • Ahmed Rady,
  • Oliver Fisher,
  • Aly A. A. El-Banna,
  • Haitham H. Emasih and
  • Nicholas J. Watson

Egyptian cotton fibres have worldwide recognition due to their distinct quality and luxurious textile products known by the “Egyptian Cotton“ label. However, cotton fibre trading in Egypt still depends on human grading of cotton quality,...

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AgriEngineering - ISSN 2624-7402