Skip to main content Skip to main navigation menu Skip to site footer
Journal of Agricultural Engineering

eISSN 2239-6268 - pISSN 1974-7071

  • About the Journal
  • Publication Ethics
  • Editorial Board
  • Current Issue
  • Archives
  • Early Access
  • Copyright
  • Register
  • Login
  • Search
  • Contacts
  • News

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

3.1
Impact Factor 2025
3.3
CiteScore 2025
This journal has not published any issues.
3.1
Impact Factor 2025
3.3
CiteScore 2025
Submit
an article
  1. Home /
  2. Search

Search

Advanced filters
Published After
Published Before

Search Results

##search.searchResults.foundPlural##
  • A review of deep learning based agricultural remote sensing image segmentation

    Qinghua Ren, Yanlin Wu, Qingshuai Zeng, Ning Yang
    01-12-2025
    https://doi.org/10.4081/jae.2025.1954
    2832
    PDF: 669
    HTML: 65
  • Recent advances in pest and disease recognition: a comprehensive review

    Honglin Liu, Bisheng Zhan, Ruitong Fang, Yi Zhang, Yujiao Ma, Ze Shen, Qirong Mao
    05-08-2025
    https://doi.org/10.4081/jae.2025.1776
    1801
    PDF: 1109
    HTML: 34
  • GPPK4PCM: pest classification model integrating growth period prior knowledge

    Jianhua Zheng, Junde Lu, Yusha Fu, Ruolin Zhao, Jinfang Liu, Zhaoxi Luo, Zhijie Luo
    18-07-2025
    https://doi.org/10.4081/jae.2025.1814
    556
    PDF: 289
    HTML: 11
  • 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
    8026
    PDF: 2802
    HTML: 737
  • Leveraging deep semantic segmentation for assisted weed detection

    Francisco Garibaldi-Márquez, Gerardo Flores, Luis M. Valentín-Coronado
    18-02-2025
    https://doi.org/10.4081/jae.2025.1741
    1495
    PDF: 545
    HTML: 91
  • An intelligent system for detecting Mediterranean fruit fly [Medfly; Ceratitis capitata (Wiedemann)]

    Yusuf Uzun, Mehmet Resit Tolun, Halil Tanyer Eyyuboglu, Filiz Sarı
    30-06-2022
    https://doi.org/10.4081/jae.2022.1381
    3427
    PDF: 1001
    HTML: 464
  • Tomato leaf diseases recognition based on deep convolutional neural networks

    Kai Tian, Jiefeng Zeng, Tianci Song, Zhuliu Li, Asenso Evans, Jiuhao Li
    25-08-2022
    https://doi.org/10.4081/jae.2022.1432
    4417
    PDF: 1657
    HTML: 230
  • 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
    1649
    PDF: 662
    HTML: 27
  • 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
    909
    PDF: 502
    HTML: 43
  • IBAC-Net: integrative brightness adaptive plant leaf disease classification

    Xing Xu, Hongya Ma, Yun Zhao, Xiaoshu Lv
    11-03-2025
    https://doi.org/10.4081/jae.2025.1772
    809
    PDF: 593
    HTML: 42
  • Lychee cultivar fine-grained image classification method based on improved ResNet-34 residual network

    Yiming Xiao, Jianhua Wang, Hongyi Xiong, Fangjun Xiao, Renhuan Huang, Licong Hong, Bofei Wu, Jinfeng Zhou, Yongbin Long, Yubin Lan
    17-07-2024
    https://doi.org/10.4081/jae.2024.1593
    1373
    PDF: 606
    HTML: 34
  • Sheep pose estimation via image analysis and body measurements derived from key points

    Cafer Tayyar Bati
    28-08-2025
    https://doi.org/10.4081/jae.2025.1719
    1803
    PDF: 659
    HTML: 120
  • Double-branch deep convolutional neural network-based rice leaf diseases recognition and classification

    Xiong Bi, Hongchun Wang
    30-10-2023
    https://doi.org/10.4081/jae.2023.1544
    2105
    PDF: 704
    APPENDIX: 143
    HTML: 28
  • 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
    2363
    PDF: 927
    HTML: 162
  • Pitaya detection using an improved lightweight Faster R-CNN based on MobileNetV3 in densely planted pitaya orchards

    Yulong Nan, Huichun Zhang, Jiaqiang Zheng, Kunqi Yang
    17-07-2025
    https://doi.org/10.4081/jae.2025.1886
    648
    PDF: 362
    HTML: 39
  • 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
    2215
    PDF: 1035
    HTML: 74
  • Smart precision agriculture using deep neural networks and multi-objective optimization for sensor deployment and yield estimation

    Hamdan Alshehri, Haitham Assiri
    23-01-2026
    https://doi.org/10.4081/jae.2025.1769
    1199
    PDF: 799
    HTML: 47
  • 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
    1577
    PDF: 638
    HTML: 73
  • Automatic sheep counting method and experimental study based on mask R-CNN

    YiKun Fan, Ting Li, Hao Lian, HuiLin Jiang, Wenqian Yang, Peng Zhou, Meian Li
    12-09-2025
    https://doi.org/10.4081/jae.2025.1614
    1311
    PDF: 406
    HTML: 67
  • 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
    2923
    PDF: 1263
    HTML: 219
  • AI-powered autonomous spraying robot for precision orchard applications

    Dilara Gerdan Koc, Caner Koc, Mustafa Comakli
    10-12-2025
    https://doi.org/10.4081/jae.2025.1766
    3093
    PDF: 877
    HTML: 253
  • 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
    870
    PDF: 406
    HTML: 38
  • Zanthoxylum infructescence detection based on adaptive density clustering

    Diwei Wu, Shaohua Zeng, Shuai Wang, Yanan Chen, Yidan Xu
    26-03-2024
    https://doi.org/10.4081/jae.2024.1568
    2262
    PDF: 453
    SUPPLEMENTARY MATERIAL: 116
    HTML: 22
  • Automated system for the detection of risk in agricultural sugarcane harvesting using digital image processing and deep learning

    Alina Evelyn Badillo-Márquez, Jonathan J. Cid-Galiot, Rubén Posada-Gómez, Alberto Alfonso Aguilar-Lasserre
    08-05-2024
    https://doi.org/10.4081/jae.2024.1581
    1197
    PDF: 768
    HTML: 22
  • SCS-YOLO11: a robust detection framework for pileus of deer antler mushrooms in greenhouse environments

    Shuzhen Yang, Jiahong Du, Dongjian Zhang, sangsang Li
    15-12-2025
    https://doi.org/10.4081/jae.2025.1930
    553
    PDF: 372
    HTML: 28
  • Residual attention based multi-label learning for apple leaf disease identification

    Changjian Zhou, Zhenyuan Zhao, Wenzhuo Chen, Yuquan Feng, Jia Song, Wensheng Xiang
    20-08-2024
    https://doi.org/10.4081/jae.2024.1595
    1122
    PDF: 491
    HTML: 31
  • 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
    1052
    PDF: 636
    HTML: 47
  • Automated tea shoot picking using the YOLO network and Mamba images segmentation for top-view detection with a monocular camera

    Zhiqiang Wang, Hui Niu, Jing Zhang, Wu Zhang, Jian Mao, Shengqi Zhang, Jun Liu, Guanpeng Zuo, Zhe Zheng, Zhenxiang Chi
    18-11-2025
    https://doi.org/10.4081/jae.2025.1637
    739
    PDF: 385
    HTML: 21
  • 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
    1134
    PDF: 684
    HTML: 118
  • Real-time banana harvest readiness prediction using mobile SE-enhanced YOLO classification

    Preety Baglat, Fábio Mendonça, Sheikh Shanawaz Mostafa, Sidharth Gupta, Francisco Silva, Helena Garcês, Ruben Sousa, Diana Côrte, Fernando Morgado-Dias
    28-01-2026
    https://doi.org/10.4081/jae.2026.2003
    1142
    PDF: 474
    Supplementary: 69
    HTML: 127
  • Fine-grained recognition algorithm of crop pests based on cross-layer bilinear aggregation and multi-task learning

    Juquan Ruan, Shuo Liu, Wanjing Mao, Shan Zeng, Zhuoyi Zhang, Guangsun Yin
    30-10-2024
    https://doi.org/10.4081/jae.2024.1606
    945
    PDF: 416
    HTML: 21
  • 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
    1789
    PDF: 526
    HTML: 38
  • Identification of drought-salinity combined stress in tomato plants by vegetation indices

    Alessandro Biglia, Francesco Gresta, Davide Lucien Patono, Lorenzo Comba, Claudio Lovisolo, Paolo Gay, Andrea Schubert
    23-10-2024
    https://doi.org/10.4081/jae.2024.1599
    1172
    PDF: 526
    HTML: 30
  • Apple recognition and picking sequence planning for harvesting robot in a complex environment

    Wei Ji, Tong Zhang, Bo Xu, Guozhi He
    31-10-2023
    https://doi.org/10.4081/jae.2024.1549
    2553
    PDF: 1188
    SUPPLEMENTARY MATERIAL: 123
    HTML: 57
  • Monitoring water-stressed spring tea canopy temperature using UAV-derived indices and clustering models

    Jiaxing Xie, Yazhong Chen, Shuai Zhao, Jiaxin Wang, Liye Chen, Fan Luo, Zihao Chen, Weixian Sha, Peng Gao, Weixing Wang, Hongshan Liu
    23-01-2026
    https://doi.org/10.4081/jae.2025.1749
    713
    PDF: 279
    HTML: 33
  • Review on electromagnetic soil sensing technologies: devices, statistical models, and future perspective

    Eleonora Iaccheri, Luigi Ragni, Annachiara Berardinelli
    23-01-2026
    https://doi.org/10.4081/jae.2025.1817
    1572
    PDF: 683
    HTML: 227
  • Acoustic feature analysis of normal and abnormal calls of white-feathered broilers

    Bowen Sun, Xiangchao Kong, Xingkai Peng, Changxi Chen, Wanchao Zhang, Guangyu Zhao, Yongmin Guo, Kaisi Yang
    18-12-2025
    https://doi.org/10.4081/jae.2025.1684
    721
    PDF: 575
    HTML: 32
  • Anthocyanins estimation in homogeneous bean landrace (Phaseolus vulgaris L.) using probabilistic representation and convolutional neural networks

    José Luis Morales-Reyes, Héctor-Gabriel Acosta-Mesa, Elia-Nora Aquino-Bolaños, Socorro Herrera Meza, Aldo Márquez Grajales
    01-08-2023
    https://doi.org/10.4081/jae.2023.1421
    1610
    PDF: 717
    HTML: 25
  • 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
    1316
    PDF: 568
    HTML: 40
  • Use of machine learning tools to estimate drying rate of apple and apricot wood discs

    Martina Balac, Andrija Rajković, Mihailo Milanović, Zoran Mileusnić, Rajko Miodragović, Aleksandra Dragičević, Olivera Ećim-Đurić
    04-09-2025
    https://doi.org/10.4081/jae.2025.1712
    624
    PDF: 765
    HTML: 63
  • Estimating indoor heat stress in broiler and swine facilities using high-resolution Geo-KOMPSAT-2A satellite data

    Rial Arifin Rajagukguk, Jinseon Park, Heejou Kim, Chae-rin Lee, Ji-yeon Park, Se-yeon Lee, Taehwan Ha, Se-woon Hong
    07-07-2026
    https://doi.org/10.4081/jae.2026.2096
    816
    PDF: 127
    HTML: 18
  • Proximal optical sensing for vineyard control and management: a review

    Alessio Tugnolo, Hugo M. Oliveira, Valentina Giovenzana, Roberto Beghi, Davide Bianchi, Alessia Pampuri, Andrea Casson, Lucio Brancadoro, Joao Piteira, Natacha Fontes, Antonio Graca, Paulo Freitas, Riccardo Guidetti
    01-07-2025
    https://doi.org/10.4081/jae.2025.1642
    1164
    PDF: 588
    HTML: 24
  • Distinguishing tea stalks of Wuyuan green tea using hyperspectral imaging analysis and convolutional neural network

    Xin Yu, Ling Zhao, Zongbin Liu, Yiqing Zhang
    16-02-2024
    https://doi.org/10.4081/jae.2024.1560
    1311
    PDF: 640
    HTML: 48
  • Modelling of agricultural land dynamics using artificial neural networks and geospatial analysis in Melur Taluk, Tamil Nadu, India

    Gowthaman M S, Murugasan R , Srinivasa Raju K, Makendran C
    21-07-2025
    https://doi.org/10.4081/jae.2025.1783
    690
    PDF: 800
    HTML: 15
  • Hyperspectral imaging to measure apricot attributes during storage

    Alessandro Benelli, Chiara Cevoli, Angelo Fabbri, Luigi Ragni
    28-06-2022
    https://doi.org/10.4081/jae.2022.1311
    1881
    PDF: 789
    HTML: 66
  • Forecasting the vapor pressure deficit in vertical farming facilities aiming to provide optimal indoor conditions

    Carlos Alejandro Perez Garcia, Dafni Despoina Avgoustaki, Enrica Santolini, Daniele Torreggiani, Thomas Bartzanas, Patrizia Tassinari, Marco Bovo
    25-07-2025
    https://doi.org/10.4081/jae.2025.1793
    1183
    PDF: 484
    HTML: 30
  • Assessing the effect of barns structures and environmental conditions in dairy cattle farms monitored in Northern Italy

    Daniela Lovarelli, Elisabetta Riva, Gabriele Mattachini, Marcella Guarino, Giorgio Provolo
    23-12-2021
    https://doi.org/10.4081/jae.2021.1229
    2441
    PDF: 1086
    HTML: 102
  • Key technology of crop precision sowing based on the vision principle

    Bing Li, Jiyun Li
    25-08-2022
    https://doi.org/10.4081/jae.2022.1453
    2468
    PDF: 600
    HTML: 60
  • Empowering farmers with artificial intelligence: a retrieval-augmented generation based large language model advisory framework

    Shreeram Sawant, Rahul Nair, Siddharth Hariharan
    27-01-2026
    https://doi.org/10.4081/jae.2026.1908
    3507
    PDF: 1164
    Supplementary: 143
    HTML: 65
  • Artificial intelligence to boost traceability systems for fraud prevention in the meat industry

    Alessandro Biglia, Paolo Barge, Cristina Tortia, Lorenzo Comba, Davide Ricauda Aimonino, Paolo Gay
    30-12-2022
    https://doi.org/10.4081/jae.2022.1328
    2928
    PDF: 1402
  • Tomato detection in natural environment based on improved YOLOv8 network

    Wancheng Dong, Yipeng Zhao, Jiaxing Pei, Zuolong Feng, Zhikai Ma, Leilei Wang, Simon Shemin Wang
    24-07-2025
    https://doi.org/10.4081/jae.2025.1732
    1254
    PDF: 972
    HTML: 100
  • Detection of early collision and compression bruises for pears based on hyperspectral imaging technology

    Guanglai Wang, Congcong Wang, Dayang Liu
    09-07-2024
    https://doi.org/10.4081/jae.2024.1591
    948
    PDF: 595
    HTML: 29
1 - 52 of 52 items

authors

FOR AUTHORS
  • SUBMIT YOUR PAPER
  • Guide for Authors
  • Benefits for Authors
  • How to write a scientific paper
  • How to write a Review article
  • Article Processing Charge

reviewers

FOR REVIEWERS
  • Benefits for Reviewers
  • How to review
  • Thanks to Reviewers

indexing

INDEXING
  • ESCI
  • Scopus
  • Web of Science
  • OpenAlex
  • Analytics

Keywords

Vol. 57 No. 3 (2026)
Estimating indoor heat stress in broiler and swine facilities using high-resolution Geo-KOMPSAT-2A satellite data
Rial Arifin Rajagukguk et al.
7 July 2026
Vol. 57 No. 3 (2026)
BIM concepts integration in academic education: a cross-sectional analysis
Andrea De Montis et al.
7 July 2026
Vol. 57 No. 3 (2026)
Evaluation of cross-flow filtration and electrodialysis in four wine varieties under industrial conditions
Maria Alleri et al.
7 July 2026
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

Info

  • About
  • Editorial Board
  • News
  • Advertising

Info Submission

  • Submission
  • Guidelines For Authors
Themes by Openjournaltheme.com

© PAGEPress 2008-2026    •    PAGEPress® is a registered trademark property of PAGEPress srl, Italy    •    VAT: IT02125780185
This journal is published by PAGEPress® srl (Pavia, Italy), which is the data controller for all personal data processed through this platform. For full details on how your data is collected, used and protected, please read our Privacy Policy.