Deep Learning Based Animal Detection With SMS And IOT Notification

Crop damage caused by wild animal intrusion is a significant concern for farmers, leading to reduced agricultural productivity and economic losses. This project presents a deep learning-based animal detection system integrated with SMS and IoT notification capabilities to safeguard agricultural fields. The system uses a camera module and a trained deep learning model to detect and classify animals in real time. Upon detection, it triggers instant alerts via SMS to farmers and uploads the incident data to an IoT platform for remote monitoring and record-keeping. This solution ensures timely intervention, enhances field security, and supports efficient farm management by leveraging AI-driven vision and smart communication technologies.