Remote sensing of crop growth characteristics in greenhouses

被引:5
|
作者
Chen, SM [1 ]
Li, MT [1 ]
Chen, CT [1 ]
Lin, YC [1 ]
Huang, CW [1 ]
机构
[1] Natl Taiwan Univ, Dept Bioind Mechatron Engn, Taipei 10764, Taiwan
关键词
water stress; chlorophyll content; multi-spectral imaging; physiological status; vegetables;
D O I
10.1109/APASIC.2002.1031590
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Remote sensing of the crop growth and status monitoring in vegetables was conducted in this study by using multi-spectral imaging; and a plant-oriented sensing algorithm based on its physiological status was developed. The effective absorption wavelength bands for chlorophyll and moisture contents were evaluated, and image processing algorithms were developed to convert the images at effective wavelengths into a cubic information structure, in which spatial variation as well as spectral absorption was well processed. Experiments regarding the influence of water stress on the growth status of Pak-choi Chinese cabbage were conducted in a phytotron. The analysis of chlorophyll content and leaf moisture content distributions showed a great potential applications in monitoring the growth of vegetables.
引用
下载
收藏
页码:295 / 301
页数:7
相关论文
共 50 条
  • [41] Design and implementation of operational system for national crop growth condition monitoring with remote sensing
    Pei, Zhiyuan
    Guo, Lin
    Wang, Qingfa
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2009, 25 (08): : 152 - 156
  • [42] Use of Statistical Method to Remote Sensing Data for In-season Crop Growth Assessment
    Markand Oza
    Journal of the Indian Society of Remote Sensing, 2014, 42 : 243 - 248
  • [43] Coupling remote sensing and crop growth model to estimate national wheat yield in Ethiopia
    Beyene, Awetahegn Niguse
    Zeng, Hongwei
    Wu, Bingfang
    Zhu, Liang
    Gebremicael, Tesfay Gebretsadkan
    Zhang, Miao
    Bezabh, Temesgen
    BIG EARTH DATA, 2022, 6 (01) : 18 - 35
  • [44] Crop growth monitoring by integration of time series remote sensing imagery and the WOFOST model
    Zhao, Hu
    Pei, Zhiyuan
    2013 SECOND INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2013, : 566 - 569
  • [45] Remote sensing data assimilation for regional crop growth modelling in the region of Bonn (Germany)
    Heinzel, V.
    Waske, B.
    Braun, M.
    Menz, G.
    IGARSS: 2007 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-12: SENSING AND UNDERSTANDING OUR PLANET, 2007, : 3647 - 3650
  • [46] The use of radiative transfer models for remote sensing data assimilation in crop growth models
    Bach, H
    Mauser, W
    Schneider, K
    PRECISION AGRICULTURE, 2003, : 35 - 40
  • [47] A FRAMEWORK FOR MONITORING CROP GROWTH BY COMBINING DIRECTIONAL AND SPECTRAL REMOTE-SENSING INFORMATION
    CLEVERS, JGPW
    BUKER, C
    VANLEEUWEN, HJC
    BOUMAN, BAM
    REMOTE SENSING OF ENVIRONMENT, 1994, 50 (02) : 161 - 170
  • [48] Design and implementation of remote sensing image-based crop growth monitoring system
    Jiang X.
    Liu X.
    Tian Y.
    Jiang H.
    Cao W.
    Zhu Y.
    Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, 2010, 26 (03): : 156 - 162
  • [49] Simulation of regional winter wheat growth by using remote sensing data and crop model
    Guo, Jianmao
    Qi, Wang
    Zheng Tengfei
    Shi Junyi
    Zhu Jinhui
    REMOTE SENSING AND MODELING OF ECOSYSTEMS FOR SUSTAINABILITY IX, 2012, 8513
  • [50] Use of Statistical Method to Remote Sensing Data for In-season Crop Growth Assessment
    Oza, Markand
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2014, 42 (01) : 243 - 248