Camera Vision Based Animal Repellent System for Agriculture using Machine Learning

Abstract

Abstract: The human-animal conflict of crop raiding has significantly increased due to human encroachment on wildlife habitats and deforestation. Wild animals, such as elephants, wild boar, and deer, pose a substantial threat to agricultural crops and farmers working in the fields, leading to significant crop losses. To address this concern, we present a comprehensive system that combines Computer Vision using Deep Convolution Neural Networks (DCNN) for precise species detection and recognition, along with the emission of species-specific ultrasound for repelling the wild animals. An edge computing device, equipped with a camera, is activated to execute the DCNN software, identifying potential threats.