Wildlife Intrusion Detection and Prevention in Farm Fields Using IoT Technology

Agriculture plays a vital role in supporting economies worldwide, making it essential to address crop loss and protect farmlands from wild animal intrusions. This paper presents an innovative approach utilizing a Raspberry Pi-based system to monitor and detect animals and intruders in agricultural areas. The proposed system integrates the OpenCV module, camera, speaker, and online applications to achieve effective surveillance. The You Only Look Once (YOLO) object detection system, employing the single shot detection mechanism, is employed for real-time classification of animals and intruders entering farmlands. A smartphone application enables farmers to receive photographs of the detected entities. Additionally, an SMS notification is sent to the farmer using the Twilio online application. To ensure maximum accuracy, the captured images are transmitted to the registered phone numbers of farmers through the Telegram app. This allows farmers to promptly respond to potential threats and take appropriate actions. By leveraging the capabilities of the Raspberry Pi and the YOLO object detection system, the proposed integrated monitoring system offers an efficient and reliable solution for safeguarding agricultural areas.