Method for identification of Pak choi pests and diseases based on improved YOLOv5s

被引：3
|
作者：
Zheng, Junjian [1 ]
Lan, Yubin [1 ,2 ,3 ]
Xiong, Wanjie [1 ,2 ,3 ]
Li, Shuo [1 ]
Yang, Runna [4 ]
Dong, Xin [1 ]
机构：
[1] College of Electronic Engineering (College of Artificial Intelligence), South China Agricultural University, Guangzhou,510642, China
[2] National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology (NPAAC), Guangzhou,510642, China
[3] Guangdong Smart Agriculture Engineering Technology Research Center, Guangzhou,510642, China
[4] National S & T Innovation Center for Modern Agricultural Industry, Guangzhou,510520, China
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2024年 / 40卷 / 13期
关键词：
Conformal mapping - Flow visualization - Image coding - Image enhancement - Membrane technology - Motion compensation - Optical character recognition - Optical flows - Photointerpretation - Photomapping - Seed - Solvent extraction - Sulfur hexafluoride circuit breakers - Vegetables;
D O I：
10.11975/j.issn.1002-6819.202403065
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：124 / 133
相关论文
共 50 条
  • [21] Lightweight detection model for coal gangue identification based on improved YOLOv5s
    Shang, Deyong
    Lv, Zhibin
    Gao, Zehua
    Li, Yuntao
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2024, 21 (04)
  • [22] A pavement distresses identification method optimized for YOLOv5s
    Guo, Keyou
    He, Chengbo
    Yang, Min
    Wang, Sudong
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [23] A pavement distresses identification method optimized for YOLOv5s
    Keyou Guo
    Chengbo He
    Min Yang
    Sudong Wang
    Scientific Reports, 12
  • [24] Fast identification of tomatoes in natural environments by improved YOLOv5s
    Wang, Hongbo
    Xie, Zhicheng
    Yang, Yongzheng
    Li, Junmao
    Huang, Zilu
    Yu, Zhihong
    JOURNAL OF AGRICULTURAL ENGINEERING, 2024, 55 (03)
  • [25] A passion fruit counting method based on the lightweight YOLOv5s and improved DeepSORT
    Tu, Shuqin
    Huang, Yufei
    Liang, Yun
    Liu, Hongxing
    Cai, Yifan
    Lei, Hua
    PRECISION AGRICULTURE, 2024, 25 (03) : 1731 - 1750
  • [26] Research on Insulator Defect Detection Method Based on Improved YOLOv5s Algorithm
    Zhao, Jingyi
    Zhou, Chun
    Wu, Zixuan
    Zheng, Weili
    Yan, Xu
    Niu, Changzhi
    2024 4TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND INTELLIGENT SYSTEMS ENGINEERING, MLISE 2024, 2024, : 96 - 100
  • [27] An Online Method for Detecting Seeding Performance Based on Improved YOLOv5s Model
    Zhao, Jie
    Xi, Xiaobo
    Shi, Yangjie
    Zhang, Baofeng
    Qu, Jiwei
    Zhang, Yifu
    Zhu, Zhengbo
    Zhang, Ruihong
    AGRONOMY-BASEL, 2023, 13 (09):
  • [28] Insulator defect detection based on improved Yolov5s
    Wei, Dehong
    Hu, Bo
    Shan, Chaoyang
    Liu, Hanlin
    FRONTIERS IN EARTH SCIENCE, 2024, 11
  • [29] Improved Pedestrian Detection Algorithm Based on YOLOv5s
    Li, Zhihua
    Zhang, Yuanbiao
    Wang, Chao
    Tan, Guopeng
    Yan, Yahui
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2024, 28 (04) : 768 - 775
  • [30] Track Defect Detection Based on Improved YOLOv5s
    Zhao, Qinjun
    Fang, Shanchang
    Li, Yueyang
    Shang, Hongwei
    Zhang, Han
    Shen, Tao
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2025,
12345