Intelligent Wildlife Detection and Alert System for Rural & Agricultural Regions

Intelligent Wildlife Detection and Alert  System for Rural & Agricultural Regions

Guardian of the Fields: AI-BasedWildlifeDetection&Prevention

Mr.B.V.SureshReddy1, Nalla Sahithi2, Garnepudi Sneha Madhuri3, Koppolu Kundana Sai Sree4,Bathula              Blessi5, Daggubati Naga Sowmya6

Assistant Professor Departmentof CSE-Data Science, KKR & KSR Institute of Technology and Sciences.1

BTech CSE-Data Science, KKR & KSR Institute of Technology and Sciences,Guntur,AndhraPradesh,India.2-5

Abstract
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.

Keywords—Wildlife Detection, AI in Agriculture,MachineLearning,Computer Vision, Human-Wildlife Conflict