A Smart System for Detection and Classification of Pests Using YOLO AND CNN Techniques

This paper's central theme is the use of YOLO and CNN to detect and classify pests. The quick extension of the human population opens on to a growth in food requirements. We lose a lot of crops owing to weather conditions and pests because of our country's illiteracy and hardship. Pests wreak havoc on a huge number of crops each and every year. As a result, in order to ensure excellent production in agricultural fields, the pest must be recognized and categorized. Early detection of pests in images is critical for pest reduction and elimination in the agricultural fields. As a result, classification of the Bug present in photographs has been difficult. The major goal of the proposed work is the classification of pests and implement pest- control strategies to safeguard crops from pests. We employ the YOLO (You Only Look Once) algorithm for pest detection and CNN for pest classification (Convolution Neural Network).