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Forest ecosystems have always received worldwide attention due to their biological diversity and these forests are vital for human existence. However, the area is decreasing due to human negligence and over-exploitation by the human population. Recent reports show evidences of illegal logging and harvesting activities through the collection of environmental data. This research characterizes the dynamics, cycle of temperature, humidity, and phase particles of a prototype device for data collection. The hardware components for this prototype will consist of temperature and humidity sensors, solar Lipo Rider for self-powering device and phase particle sensors. Sensor data has been identified as salient data for the preservation and protection of the biological ecosystem, in terms of population wellbeing and prolonged heritage. Therefore, the development of this Automated System Detecting Environment (ASDE) will be useful in assisting regulatory bodies, researchers and ecologists to identify changes within the ecosystem.

The Development of an Automated System in Detecting Environmental Data for the Monitoring of Forest Activity