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

Abstract

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.

AudioMoth: Evaluation of a smart open acoustic device for monitoring biodiversity and the environment

“…Research studies have reduced the cost of acoustic monitoring by re-purposing existing technologies (Gross, 2014), or implementing devices based on open-source modular computers with external sensors of fit-for-purpose quality. Recent examples include PAM devices built around the Raspberry Pi computer (Caldas- Morgan, Alvarez-Rosario, & Padovese, 2015;Sankupellay et al, 2016;wa Maina, Muchiri, & Njoroge, 2016) and Arduino computer (Razali et al, 2015;Shafiril, Yusoff, & Yusoff, 2016). For example, the Solo acoustic monitoring platform is based on the Raspberry Pi and an external microphone (Whytock & Christie, 2017), and costs just under ∼US$100.…”

IoT-Based Real-Time Monitoring System for a Smart Energy House

“…The DHT11 in Figure 5 (a) is an ultra-low-cost temperature and capacitive humidity sensor with an integrated analog to digital converter of 8-bit resolution [11,12,13]. It can detect relative humidity between 20 and 90 % RH within the temperature compensation of 0 to 50°C with an accuracy of ± 5 %.…”

“…Due to the time-sensitive communication process, the data query frequency cannot be higher than 1 Hz. Nevertheless, the sensor characterizes an excellent price-quality ratio and better accuracy compared to some of the infrared thermometers [11]. In this study, several DHT11 sensors were used to determine not only the water temperature but also the photovoltaic panel's heat level.…”