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Early pest detection using improved FCM

Author: 
Brinda, P. and Dr. Pushparani, M.
Subject Area: 
Physical Sciences and Engineering
Abstract: 

Early detection of pest in bio-aggressor is a major challenge in agriculture field. Many effective measures should be taken to control the uses of pesticides. By using image processing techniques, image analysis can be applied to agricultural science; it can provide maximum cultivation of crops by protecting them from pest. This paper proposed a various software prototype system for pest detection on infected images. Infected images are collected through digital camera and processed using image enhancement; which can enhance and provide better than it original image by removing blur and rectify foggy image, image restoration; which can remove the unwanted noise and detect the edge. The Final process is image segmentation; in this techniques image is segmented using the clustering method which detects infected part of leaves. Then by establishing feature extraction pest densities in leaves can be detected. This proposed system provides an easy and effective solution to detect pest and control pesticides in plants.

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