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  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

  796

  PDF: 367

  HTML: 11
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  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

  1343

  PDF: 705

  HTML: 25
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  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

  376

  PDF: 196

  HTML: 9
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  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

  1088

  PDF: 527

  HTML: 25
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  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

  1566

  PDF: 402

  HTML: 18
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  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

  307

  PDF: 207

  HTML: 9

• Comparison of two different artificial neural network models for prediction of soil penetration resistance

  İlker Ünal, Önder Kabaş, Salih Sözer

  29-12-2023

  https://doi.org/10.4081/jae.2024.1550

  1231

  PDF: 489

  HTML: 24