数字图像处理,农作物,病虫草,识别," /> 数字图像处理,农作物,病虫草,识别,"/> digital image processing,crop,disease, pest, and weed,recognition,"/> <font face="Verdana">Application of Digital Image Processing Technology in Recognizing the Diseases, Pests, and Weeds from Crops #br# </font>

Scientia Agricultura Sinica ›› 2009, Vol. 42 ›› Issue (7): 2349-2358 .doi: 10.3864/j.issn.0578-1752.2009.07.012

• PLANT PROTECTION • Previous Articles     Next Articles

Application of Digital Image Processing Technology in Recognizing the Diseases, Pests, and Weeds from Crops #br#

GUAN Ze-xin, YAO Qing, YANG Bao-jun, HU Jie, TANG Jian   

  1. （浙江理工大学信息电子学院）
  • Received:2008-10-21 Revised:2008-12-18 Online:2009-07-10 Published:2009-07-10
  • Contact: tangjian@mail.hz.zj.cn

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Abstract:

The major image processing methods used for the reorganization of diseases, pests, and weeds from crops were reviewed. These methods include color space partition method, texture feature analysis method, morphological feature analysis method, wavelet analysis methods, multi-parametric analysis method and special image analysis method. The principles of these methods were introduced and their advantages and disadvantages were compared. In addition, the pattern recognition methods that related to the above methods were also summarized briefly. Finally, some concerns as well as further researches in this field were discussed.

Key words: digital image processing')">digital image processing, crop, disease, pest, and weed, recognition

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