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Smart Crop Protection System

Authors:

Dr. C. Krishna Priya

Assistant Professor

Department of Artificial Intelligence and Data Science Central University of Andhra Pradesh Ananthapuramu, India

Email: krishnapriyarams@cuap.edu.in

Vennapusa Vivekanandareddy

Department of Artificial Intelligence and Data Science Central University of Andhra Pradesh Ananthapuramu, India

Email: vivekanandareddy104@gmail.com

Abstract—Agriterrorism in the context of animal damage significantly impacts crop production for farmers, leading to economic losses. This paper proposes an AI-driven Scarecrow system using real-time video processing with YOLOv3 and OpenCV to detect and deter wildlife intrusions. Upon detection, the system generates sound alerts to ward off animals and notifies the farmer via email and phone calls if threats persist. The proposed system aims to provide a scalable, cost-effective, and environmentally friendly crop protection method, addressing the limitations of traditional systems.

Index Terms—Agriterrorism, Crop Protection, YOLOv3, Real- Time Monitoring, Deep Learning, Object Detection, OpenCV, Smart Agriculture.