Camellia oleifera fruit harvesting in complex environment based on COF-YOLOv5s

被引:1
|
作者
Wang, Jinpeng [1 ]
He, Meng [1 ]
Zhen, Qianguang [1 ]
Zhou, Hongping [1 ]
机构
[1] College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing,210000, China
关键词
D O I
10.11975/j.issn.1002-6819.202312112
中图分类号
学科分类号
摘要
引用
收藏
页码:179 / 188
相关论文
共 50 条
  • [11] Classification and recognition of camellia oleifera fruit in the field based on transfer learning and YOLOv8n
    Zhou H.
    Jin S.
    Zhou L.
    Guo Z.
    Sun M.
    Shi M.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2023, 39 (20): : 159 - 166
  • [12] Natural frequency identification model based on BP neural network for Camellia oleifera fruit harvesting
    Du, Xiaoqiang
    Han, Xintao
    Shen, Tengfei
    Meng, Zhichao
    Chen, Kaizhan
    Yao, Xiaohua
    Cao, Yongqing
    Castro-Garcia, Sergio
    BIOSYSTEMS ENGINEERING, 2024, 237 : 38 - 49
  • [13] Camellia oleifera Fruit Detection Algorithm in Natural Environment Based on Lightweight Convolutional Neural Network
    Li, Zefeng
    Kang, Lichun
    Rao, Honghui
    Nie, Ganggang
    Tan, Yuhan
    Liu, Muhua
    APPLIED SCIENCES-BASEL, 2023, 13 (18):
  • [14] Camellia oleifera Fruit Static and Dynamic Detection Counting Based on Improved COF-YOLO v8n
    Wang J.
    He M.
    Zhen Q.
    Zhou H.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2024, 55 (04): : 193 - 203
  • [15] Camellia oleifera trunks detection and identification based on improved YOLOv7
    Wang, Haorui
    Liu, Yang
    Luo, Hong
    Luo, Yuanyin
    Zhang, Yuyan
    Long, Fei
    Li, Lijun
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2024, 36 (27):
  • [16] 3D positioning of Camellia oleifera fruit-grabbing points for robotic harvesting
    Zhou, Lei
    Jin, Shouxiang
    Wang, Jinpeng
    Zhang, Huichun
    Shi, Minghong
    Zhou, HongPing
    BIOSYSTEMS ENGINEERING, 2024, 246 : 110 - 121
  • [17] Elderly Fall Detection in Complex Environment Based on Improved YOLOv5s and LSTM
    Bui, Thioanh
    Liu, Juncheng
    Cao, Jingyu
    Wei, Geng
    Zeng, Qian
    APPLIED SCIENCES-BASEL, 2024, 14 (19):
  • [18] An Improved YOLOv5s-Based Scheme for Target Detection in a Complex Underwater Environment
    Hou, Chenglong
    Guan, Zhiguang
    Guo, Ziyi
    Zhou, Siqi
    Lin, Mingxing
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (05)
  • [19] Detection of Camellia oleifera fruit maturity in orchards based on modified lightweight YOLO
    Zhu, Xueyan
    Chen, Fengjun
    Zheng, Yili
    Chen, Chuang
    Peng, Xiaodan
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2024, 226
  • [20] Maturity Grading and Identification of Camellia oleifera Fruit Based on Unsupervised Image Clustering
    Zhu, Xueyan
    Shen, Deyu
    Wang, Ruipeng
    Zheng, Yili
    Su, Shuchai
    Chen, Fengjun
    FOODS, 2022, 11 (23)