Detection and Prevention of Animal in Farmland Using IoT-ML

The IOT animal detection and prevention system or farm management is a promising solution to the challenge of animal intrusion, which can significantly impact crop yield and livestock health. The system uses a network of sensors deployed across the farm premises to monitor animal movement and behavior in real-time. These sensors, equipped with motion detectors, infrared sensors, and cameras, continuously gather data and transmit it to a central processing unit. Advanced algorithms, including machine learning and computer vision techniques, analyze the data to distinguish between harmless wildlife and potential threats. Upon detecting the unauthorized animal presence, the system triggers preventive measures, such as sound alarms, flashing lights, or automated water sprayers. Alerts are sent to farm managers or personnel via mobile applications or other communication channels, enabling swift response and intervention. The IoT platform provides valuable insights into animal behavior patterns and trends, facilitating proactive farm management strategies. By analyzing historical data, farmers can identify high-risk areas prone to animal intrusion and implement targeted preventive measures. Continuous monitoring enables early detection of emerging threats, minimizing potential damage and losses. Implementing an IoT-based system offers numerous benefits, including enhanced farm security, improved resource utilization, and optimized operational efficiency.