Abstract—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.
Index Terms—Arduino, environmental remote monitoring, forest monitoring, sensor ecosystem.
Shahrizuan Shafiril and Amri Yusoff are with Universiti Pendidikan Sultan Idris, Malaysia (e-mail: firstname.lastname@example.org, email@example.com).
Norma Che Yusoff is with the Institute of Biological Sciences, Faculty of Science, University of Malaya, Malaysia (e-mail: firstname.lastname@example.org).
Cite: Shahrizuan Shafiril, Amri Yusoff, and Norma Che Yusoff, "The Development of an Automated System in Detecting Environmental Data for the Monitoring of Forest Activity," International Journal of Environmental Science and Development vol. 7, no. 7, pp. 532-536, 2016.