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  • 标题:A Survey on Different Image Processing Techniques for Pest Identification and Plant Disease Detection
  • 本地全文:下载
  • 作者:Preetha Rajan ; Radhakrishnan B
  • 期刊名称:International Journal of Computer Science and Network
  • 印刷版ISSN:2277-5420
  • 出版年度:2016
  • 卷号:5
  • 期号:1
  • 页码:137-141
  • 出版社:IJCSN publisher
  • 摘要:Pest detection and identification of diseases inagricultural crops is essential to ensure good productivity. Theproductivity of plants will reduce due to diseases and presence ofpests. Image processing can be used to identify the pests andthereby can reduce the use of pesticides. Image processinginvolves capturing the image and applying various preprocessingtechniques and detect the pest in the image. By using theclassifier we can classify the pests and plant diseases. This paperpresents the study of various image processing techniques andapplications for pest identification and plant disease detection
  • 关键词:Image Processing; Segmentation; Feature;Extraction; Classification; Pest Identification; Disease Detection
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