Research on Crop Image Recognition Technology - Take Daylily as an Example

被引:0
|
作者
Zhao, Jichao [1 ]
Dai, Fengzhi [1 ]
机构
[1] Tianjin Univ Sci & Technol, Coll Elect Informat & Automat, Tianjin, Peoples R China
关键词
Crop Picking; Daylily; Digital Image Recognition; Maturity;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Digital image recognition technology is the core technology of agricultural robots. The key research content is to judge the maturity of crops through image recognition. In this paper, the daylily is used as the crop to be identified, and digital image processing technology is used to separate the daylily from the background image, and then send the processed information to the picking actuator of the robot to assist the actuator in picking tasks. This method can not only be used in the recognition of daylily but also can be used in the recognition of tomatoes, cucumbers, and other crops by adjusting the recognition pictures and recognition parameters. It has high scalability.
引用
收藏
页码:635 / 638
页数:4
相关论文
共 50 条
  • [21] Research on Sampling System for Abyssal Sediment Based on Image Recognition Technology
    Ruan, Dongrui
    Chen, Jiawang
    Jiang, Jiqing
    Peng, Xiaoqing
    Zhou, Peng
    Huang, Yue
    MARINE TECHNOLOGY SOCIETY JOURNAL, 2022, 56 (04) : 21 - 29
  • [22] Research on Automatic Recognition Technology of Library Books Based on Image Processing
    Xun H.
    Informatica (Slovenia), 2024, 48 (05): : 29 - 40
  • [23] Research of Image Processing Technology in Vehicle License Plate Recognition System
    Xu, Lin
    Zhang, Qin
    Yu, YiFan
    ADVANCED RESEARCH ON MECHANICAL ENGINEERING, INDUSTRY AND MANUFACTURING ENGINEERING, PTS 1 AND 2, 2011, 63-64 : 134 - +
  • [24] Research on Application of Image Recognition and Tracking Technology Based on Moving Objects
    Lin, Lin
    2020 5TH INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA 2020), 2020, : 222 - 225
  • [25] Research on wavelet-based image target detection & recognition technology
    Wang A-min
    Gao Ying
    Wang Feng-hua
    Guo Shu-xia
    MATERIALS, TRANSPORTATION AND ENVIRONMENTAL ENGINEERING, PTS 1 AND 2, 2013, 779-780 : 1689 - +
  • [26] Human Parasite Eggs Image Characteristics Extraction and Recognition Technology Research
    Fang, Chunjuan
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL, 2015, 125 : 1703 - 1709
  • [27] Research on the Application of Image Recognition Technology in Transformer Equipment Fault Monitoring
    Feng, Junjie
    Duan, Yusong
    Kang, Wenjie
    Li, Zhengyu
    Liu, Xiao
    Nonlinear Optics Quantum Optics, 2022, 56 (1-2): : 97 - 108
  • [28] Research on the Application of Image Recognition Technology in Transformer Equipment Fault Monitoring
    Feng, Junjie
    Duan, Yusong
    Kang, Wenjie
    Li, Zhengyu
    Liu, Xiao
    NONLINEAR OPTICS QUANTUM OPTICS-CONCEPTS IN MODERN OPTICS, 2022, 56 (1-2): : 97 - 108
  • [29] Research on Cable Defect Recognition Technology Based on Image Contour Detection
    Xie, Jia
    Sun, Tao
    Zhang, JiaQing
    Ye, LiangPeng
    Fan, MingHao
    Zhu, MingZhe
    2021 2ND INTERNATIONAL CONFERENCE ON BIG DATA & ARTIFICIAL INTELLIGENCE & SOFTWARE ENGINEERING (ICBASE 2021), 2021, : 387 - 391
  • [30] Research of bed load distribution density based on image recognition technology
    Sun, D. P.
    Chen, H.
    Sun, Y.
    Gao, A.
    Dong, M. J.
    Han, L. Q.
    Liu, X.
    RIVER SEDIMENTATION, 2017, : 100 - 100