Abstract
This project proposes an area detection system using Radio Frequency (RF) technology to monitor forest areas for illegal logging or encroachment activities. The system consists of a network of RF sensors deployed throughout the forest to detect any movement or changes in the forest's environment. The data collected by the sensors is transmitted wirelessly to a central monitoring station, where it is analyzed using machine learning algorithms. The proposed system aims to provide an effective and efficient solution for monitoring forest areas and preventing illegal activities that may damage the environment
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