Innovative Approaches to Crop Protection: Integrating Wild Animal Detection Systems

Innovative Approaches to Crop Protection: Integrating Wild Animal Detection Systems

 Mr. NOOR AHAMED J1, HELEN MARTIN2

M.C.A, M.Phil, Assistant Professor (SG), Department of Computer Applications, Nehru College of Management, Coimbatore, Tamilnadu, India

jnamca@gmail.com

II MCA, Department of Computer Applications, Nehru College of Management, Coimbatore, Tamilnadu, India

martinhelen81@gmail.com

Abstract: One of the biggest problems facing farmers around the world is the growing risk of wild animals destroying crops. Crop protection techniques like hand patrols and fencing are

expensive and ineffective. In order to detect wild animals in real time, this study proposes an AI and IoT-based crop protection system that uses motion-

sensitive     cameras     and     machine      learning

algorithms. While automated alarm systems notify farmers of possible dangers, Convolutional Neural

Networks     (CNN)     are     used     for      animal

classification. The suggested methodology guarantees sustainable farming methods, lowers crop losses, and increases agricultural security.

Keywords:ineffective,sensitive