Detection of Pests Using Color Based Image Segmentation

Large amounts of crops are destroyed every year due to pests. Pest detection and identification is needed to ensure good productivity in agricultural crops. Early detection of pests in images is very crucial for effective management of pest control. Therefore, identifying the pest in the image has been a challenging task. In this paper, we use colour based image segmentation method to efficiently detect the pest. The extensive simulation results on various pest images show that the proposed method outperforms the existing Otsu's method and edge detection segmentation.