IoT Enabled Animal Detection and Adaptive Sound Repellent System for Sustainable Crop Protection

Responsible farmers are constantly faced with significant financial losses through wild animals that are able to easily get introduced into their agricultural fields which can usually be found close to forests and urban landscapes. We have designed an intelligent Sensor-driven Animal Movement Detection and Adaptive Sound Repellent System (STD-MS) to address this concern. The STD-MS utilizes microwave radar sensors that will detect movement in conjunction to a microcontroller which outputs sounds of different frequencies through speakers. The sounds chosen for the animal will be pitch and loudness adjusted specific to the size and/or behavior of the animal, thus mitigating the chance of habituation. The purpose of this project is to develop an IoT based system for animal detection as well as adaptive sound repellent system for environmentally sustainable crop protection. The system will use microwave radar sensors and microcontrollers to detect animal movement in near real-time within the agricultural fields with wireless IoT monitoring and data logging benefits.Keywords: Smart agriculture, Animal detection, Motion Sensors, Sound repellent, Crop protection.