YSVD - Tea Algorithm for Tea Bud Object Detection Based on Few Annotated Samples

被引:0
|
作者
Zheng, Ziqiu [1 ]
Song, Yan [1 ,2 ]
Chen, Lin [1 ]
Zhang, Hang [1 ]
Ning, Jingming [3 ]
机构
[1] School of Engineering, Anhui Agricultural University, Hefei,230036, China
[2] Anhui Provincial Engineering Research Center of Intelligent Agricultural Machinery, Hefei,230036, China
[3] State Key Laboratory of Tea Plant Biology and Utilization, Anhui Agricultural University, Hefei,230036, China
来源
Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery | 2024年 / 55卷 / 08期
关键词
D O I
10.6041/j.issn.1000-1298.2024.08.027
中图分类号
学科分类号
摘要
引用
收藏
页码:301 / 311
相关论文
共 50 条
  • [31] Rapid detection of exogenous sucrose in black tea samples based on near-infrared spectroscopy
    Dong, Chunwang
    Liu, Zhongyuan
    Yang, Chongshan
    An, Ting
    Hu, Bin
    Luo, Xin
    Jin, Jing
    Li, Yang
    INFRARED PHYSICS & TECHNOLOGY, 2021, 119
  • [32] Research on electrochemical fingerprint detection of tea beverage based on particle swarm optimization algorithm
    Xuexiang Li
    Journal of Food Measurement and Characterization, 2024, 18 : 1355 - 1362
  • [33] Research on tea bud identification technology based on HSI/HSV color transformation
    Zhao Bojie
    Wei Dong
    Sun Weizhong
    Liu Yu
    Wei Ke
    2019 6TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2019), 2019, : 511 - 515
  • [34] Automatic waste detection with few annotated samples: Improving waste management efficiency
    Zhou, Wei
    Zhao, Lei
    Huang, Hongpu
    Chen, Yuzhi
    Xu, Sixuan
    Wang, Chen
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 120
  • [35] Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer
    Lin, Zhijie
    Zhu, Zilong
    Guo, Lingling
    Chen, Jingjing
    Wu, Jiyi
    APPLIED SCIENCES-BASEL, 2025, 15 (04):
  • [36] Few-Shot Object Detection Algorithm Based on Geometric Prior and Attention RPN
    Chen, Xiu
    Li, Yujie
    Lu, Huimin
    20TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC 2024, 2024, : 706 - 711
  • [37] Bright photoactivatable probes based on triphenylethylene for Cu2+ detection in tap water and tea samples
    Liang, Zuo-Qin
    Song, Dong-Dong
    Li, Zhuo-Cheng
    Xu, Su-Hang
    Dai, Guo-Liang
    Ye, Chang-Qing
    Wang, Xiao-Mei
    Tao, Xu-Tang
    FOOD CHEMISTRY, 2024, 434
  • [38] Detection of anthracnose in tea plants based on hyperspectral imaging
    Yuan, Lin
    Yan, Peng
    Han, Wenyan
    Huang, Yanbo
    Wang, Bin
    Zhang, Jingcheng
    Zhang, Haibo
    Bao, Zhiyan
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 167
  • [39] Microscopic Raman-based rapid detection of submicron/nano polypropylene plastics in tea and tea beverages
    Xiang, Tongyue
    Sun, Yingying
    Ding, Dazhi
    Yao, Weirong
    Yu, Zhilong
    Xie, Yunfei
    FOOD CHEMISTRY, 2024, 454
  • [40] Detection and classification of tea buds based on deep learning
    Xu, Wenkai
    Zhao, Longgang
    Li, Juan
    Shang, Shuqi
    Ding, Xiping
    Wang, Tiewei
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, 192