Innovative Approaches to Crop Protection: Integrating Wild Animal Detection Systems

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.