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AgriEngineering, Volume 7, Issue 5

May 2025 - 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 Citations
1,568 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
2 Citations
1,325 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
2 Citations
1,306 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
1,466 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
1,567 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
3 Citations
939 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
1,282 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
1,813 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
1 Citations
1,748 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
1,334 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...

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AgriEngineering - ISSN 2624-7402