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Artificial Neural Network to Predict Leaf Population Chlorophyll Content from Cotton Plant Images

SUO Xing-mei JIANG Ying-tao YANG Mei LI Shao-kun WANG Ke-ru WANG Chong-tao

中国农业科学（英文版）2010，Vol.9Issue(1)：38-45,8.
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中国农业科学（英文版）2010，Vol.9Issue(1)：38-45,8.

Artificial Neural Network to Predict Leaf Population Chlorophyll Content from Cotton Plant Images

Artificial Neural Network to Predict Leaf Population Chlorophyll Content from Cotton Plant Images

SUO Xing-mei 1JIANG Ying-tao 2YANG Mei 2LI Shao-kun 3WANG Ke-ru 3WANG Chong-tao3

作者信息

  • 1. College of Information Engineering,Minzu University of China,Beijing 100081,P.R.China
  • 2. Department of Electrical and Computer Engineering,University of Nevada,Las Vegas NV 89154,U.S.A
  • 3. Institute of Crop Sciences,Chinese Academy of Agricultural Sciences,Beijing 100081,P.R.China
  • 折叠

摘要

关键词

artificial neural network/image processing/cotton plant/leaf population chlorophyll content/prediction

Key words

artificial neural network/image processing/cotton plant/leaf population chlorophyll content/prediction

引用本文复制引用

SUO Xing-mei,JIANG Ying-tao,YANG Mei,LI Shao-kun,WANG Ke-ru,WANG Chong-tao..Artificial Neural Network to Predict Leaf Population Chlorophyll Content from Cotton Plant Images[J].中国农业科学（英文版）,2010,9(1):38-45,8.

基金项目

This work was supported by the Chinese Scholarship Council (CSC) and the Minzu University of China (CUN0246). The authors thank Mr. Robert Hope,US Environmental Protection Agency,National Exposure Research Laboratory,Las Vegas,Nevada,USA,for his assistance with the manuscript. （CSC）

中国农业科学（英文版）

OACSCD

2095-3119

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