Pest Detection and Classification Using YOLO AND CNN

Abstract

The ideology of the paper presents the detection and Classification of pests using YOLO AND CNN. The brisk increase of human population leads to the increase in the demand of the food. Due to the illiteracy rate and deprivation in our country we mislay a large amount of crops due to climatic conditions and pests. Enormous quantities of crops are ruined annually due to the presence of pests. So the pest must be detected and classified in order to guarantee superior production in agricultural fields. Prior detection of pests in the image is important for control of pests in the fields. Due to this, classifying the pest in the images has been an onerous task. The main intention of this paper is to classify the pests and to apply certain measures to protect the crops from the pests. For detection of pest we use YOLO (You look only once) algorithm and for classification of pest we use CNN (Convolution Neural Network).