AI-Powered IoT-Based Wildlife Threat Detection and Emergency Communication System

Abstract

AI-powered IoT-based hillside crop protection system designed to safeguard farmlands from wildlife intrusions and environmental threats, particularly benefiting farmers and tribal communities in remote regions. The system utilizes ultrasonic sensors to detect the presence of animals by emitting high-frequency sound waves that reflect back upon contact. The sensor data is processed using Python-based algorithms to classify detected animals and trigger appropriate responses. Upon intrusion detection, a GSM module sends instant alerts to the farmer’s mobile device, ensuring real-time awareness. To deter animals, the system activates a non-harmful deterrent mechanism, such as controlled vibrations or sound emissions, via a relay module. Additionally, Zigbee technology facilitates seamless communication between the system, nearby villages, and control centers, enabling efficient data transmission. IoT integration allows remote monitoring and control, enabling farmers to access live updates via a mobile or web interface. In critical situations, a buzzer or siren is triggered to alert farmers and local authorities. The system is Arduino Uno-controlled, efficiently managing sensor data processing and action execution. By minimizing manual intervention and enhancing automation, this solution offers a cost-effective, sustainable, and reliable approach to protecting hillside crops from wildlife threats and environmental challenges.