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

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

© 2022 by IJETT Journal
Volume-70 Issue-5
Year of Publication : 2022
Authors : Madhu Sharma, Ritesh Rastogi, Nancy Arya, Shaik Vaseem Akram, Rajesh Singh, Anita Gehlot, Dharam Buddhi, Kapil Joshi
DOI :  10.14445/22315381/IJETT-V70I5P211

How to Cite?

Madhu Sharma, Ritesh Rastogi, Nancy Arya, Shaik Vaseem Akram, Rajesh Singh, Anita Gehlot, Dharam Buddhi, Kapil Joshi, "LoED: LoRa and Edge Computing based System Architecture for Sustainable Forest Monitoring," International Journal of Engineering Trends and Technology, vol. 70, no. 5, pp. 88-93, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I5P211

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 (ThingSpeak server) through 433 MHz LoRa and ESP 8266 Wi-Fi controller

Forest monitoring, edge computing, 433MHz LoRa, Wi-Fi, cloud server.

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