LoED: LoRa and Edge Computing based System Architecture for Sustainable Forest Monitoring

What is it about?

Sustainable Forest monitoring is significant for monitoring the forest with advanced digital technologies. The rise of population, pollution emissions from industry and agriculture, loss of productivity, and soil fertility in pure planted forests, diseases of complex etiology are the issues in reducing forest cover. Motivated by these aspects, this article proposed LoRa and edge computing inspired hybrid architecture for real-time monitoring of the health and growth of the trees by monitoring the quality of soil, water, and the climate. In this study, the sensor mote is deployed at trees and monitored the soil moisture content, humidity, temperature, and air pressure. The monitored sensor values are recorded in the cloud server (Thing Speak server) through 433 MHz LoRa and ESP 8266 Wi-Fi controller.

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Why is it important?

Real-time monitoring and edge computing-based devices have significantly impacted different applications. Integrating these technologies in the forest is highly required for monitoring the forest in real-time based on a sensor. This particle proposes LoRa and edge computing-based architecture and system for real-time monitoring of forests and trees. To realize the system in real-time, the sensor mote integrated with multiple sensors is deployed at trees and monitors the temperature, humidity, soil moisture content, and air pressure. The monitored sensor values are recorded on the cloud server. The deployed sensor mote is empowered with node mapping and symmetric encryption for minimizing data redundancy and secure transmission.

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