Intelligent Wildlife Detection and Alert System for Rural & Agricultural Regions

Wildlife encroachment poses a serious threat to agriculture and rural economies through loss of crops and human safety concerns. In this paper, we present AI-based wildlife detection methods using machine learning techniques like convolutional neural networks (CNNs), computer vision, and hybrid approaches.We compare current methodologies, put forward a better detection framework, and compare its performance with state-of-the-art competing methods. Our findings show that deep learning-based methods are able to detect and monitor wildlife movement with great effectiveness, leading to early conflict reduction and agricultural safety.