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《Review of China Agricultural Science and Technology》 2003-02
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Applied Researchers of Classifying and Identifying Crop Image

WU Fu ning 1, YANG Zi biao 2, ZHU Hong 1, ZHENG Li min 1, LIAO Shu hua 1, SHAN Cheng gang 1, WANG Gui qin 1 (1.College of Agronomy and Bio Technology, China Agricultural University, Beijing 100094, China; 2.Agricultural School of DaLi, Yun Nan 671003, China)  
Automated classification and identification of field crop images using features are very important to realize agricultural automatization based on computational vision technology. The paper discussed the two methods (i.e. statistical histogram and statistical feature of color parameters) of classifying and identifying image based on color features It also offered some threads of classifying and identifying crop image based on color features by anglicizing and comparing their traits. In order to promote the research and the application of this technique in Chinese agriculture, it summarized the foreign and domestic research methods and advancements of application of computational vision technique in classifying and identifying field crops by anglicizing the color feature of crops.
【Fund】: 国家十五科技攻关 (子专题编号 :2 0 0 1BA5 13 B0 4-1-6)
【CateGory Index】: S-39
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