A Survey on Different Image Processing Techniques for Pest Identification and Plant Disease Detection

نویسنده

  • Preetha Rajan
چکیده

Pest detection and identification of diseases in agricultural crops is essential to ensure good productivity. The productivity of plants will reduce due to diseases and presence of pests. Image processing can be used to identify the pests and thereby can reduce the use of pesticides. Image processing involves capturing the image and applying various preprocessing techniques and detect the pest in the image. By using the classifier we can classify the pests and plant diseases. This paper presents the study of various image processing techniques and applications for pest identification and plant disease detection.

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تاریخ انتشار 2004