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Journal of Agricultural Engineering

eISSN 2239-6268 - pISSN 1974-7071

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Editor-in-Chief: Riccardo Guidetti, Milano, Italy

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  • YOLO deep learning algorithm for object detection in agriculture: a review

    Kamalesh Kanna S, Kumaraperumal Ramalingam, Pazhanivelan P, Jagadeeswaran R, Prabu P.C.
    13-12-2024
    https://doi.org/10.4081/jae.2024.1641
    1220
    PDF: 599
    HTML: 170
  • Cassava stalk detection for a cassava harvesting robot based on YOLO v4 and Mask R-CNN

    Thanaporn Singhpoo, Khwantri Saengprachatanarug, Seree Wongpichet, Jetsada Posom, Kanda Runapongsa Saikaew
    01-08-2023
    https://doi.org/10.4081/jae.2023.1301
    1205
    PDF: 533
    HTML: 101
  • AC-YOLO: citrus detection in the natural environment of orchards

    Xu Xiao, Yaonan Wang, Yiming Jiang, Haotian Wu, Zhe Zhang, Rujing Wang
    27-12-2024
    https://doi.org/10.4081/jae.2024.1654
    305
    PDF: 154
    HTML: 6
  • Detection method of potato leaf disease based on YOLOv5s

    Jingtao Li, Hao Chen, Guisong Li, Yueqi Liu, Yanli Yang, Xia Liu, Chang Yi Wang
    03-06-2024
    https://doi.org/10.4081/jae.2024.1587
    576
    PDF: 303
    HTML: 19
  • Static laser weeding system based on improved YOLOv8 and image fusion

    Xiwang Du, Xia Li, Fangtao Duan, Jiawei Hua, Mengchao Hu
    03-10-2024
    https://doi.org/10.4081/jae.2024.1598
    472
    PDF: 344
    HTML: 28
  • Grape detection in natural environment based on improved YOLOv8 network

    Meng Junjie, Cao Ziang, Guo Dandan, Wang Yuwei, Zhang Dashan, Liu Bingyou, Hou Wenhui
    20-08-2024
    https://doi.org/10.4081/jae.2024.1594
    375
    PDF: 226
    HTML: 7
  • Monitoring mini-tomatoes growth: A non-destructive machine vision-based alternative

    Fernando Ferreira Abreu, Luiz Henrique Antunes Rodrigues
    09-09-2022
    https://doi.org/10.4081/jae.2022.1366
    1400
    PDF: 697
    HTML: 47
  • Potato powdery scab segmentation using improved GrabCut algorithm

    Rui Liu, Tong Zhu, Jiawei Wu, Jingtao Li
    09-05-2024
    https://doi.org/10.4081/jae.2024.1585
    320
    PDF: 196
    HTML: 7
  • Lightweight sandy vegetation object detection algorithm based on attention mechanism

    Zhongwei Hua, Min Guan
    21-11-2022
    https://doi.org/10.4081/jae.2022.1471
    1270
    PDF: 323
    HTML: 25
  • Fast identification of tomatoes in natural environments by improved YOLOv5s

    Hongbo Wang, Zhicheng Xie, Yongzheng Yang, Junmao Li, Zilu Huang, Zhihong Yu
    09-07-2024
    https://doi.org/10.4081/jae.2024.1588
    283
    PDF: 167
    HTML: 14
  • Multi-class segmentation of navel orange surface defects based on improved DeepLabv3+

    Yun Zhu, Shuwen Liu, Xiaojun Wu, Lianfeng Gao, Youyun Xu
    20-02-2024
    https://doi.org/10.4081/jae.2024.1564
    802
    PDF: 301
    HTML: 15
  • Comparative analysis of 2D and 3D vineyard yield prediction system using artificial intelligence

    Dhanashree Barbole, Parul M. Jadhav
    30-10-2023
    https://doi.org/10.4081/jae.2023.1545
    951
    PDF: 300
    HTML: 5
1 - 12 of 12 items

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  • Avocado oil extraction processes: method for cold-pressed high-quality edible oil production versus traditional production
    315
  • Aeroponic systems design: considerations and challenges
    217
  • Agricultural mechanization perspective in Pakistan: present challenges and digital future
    139
  • THE MEASUREMENT AND DISTRIBUTION OF WOOD DUST
    111
  • Noise attenuation provided by hedges
    109

Keywords

Early Access
Efficient use of water in four genotypes of cowpea (Vigna unguiculata L. walp) aiming to face water deficit
Amir David Vergara Carvajal et al.
3 June 2025
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Energy optimization control of extended-range hybrid combine harvesters based on quasi-cycle power demand estimation
Shuofeng Weng et al.
26 May 2025
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Cost-effective IoT hyperspectral prototype for distributed agri-food product monitoring
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Journal of Agricultural Engineering

is the official journal of the Italian Society of Agricultural Engineering and it is published online by PAGEPress®, Pavia, Italy. Registered in Pavia, n. 9/2012. All credits and honors to PKP for their OJS.

pISSN: 1974-7071
eISSN: 2239-6268

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