REAL-TIME ENVIRONMENT MONITORING FOR SUSTAINABLE AGRICULTURAL PRACTICES

Abstract

An intelligent agricultural telemetry system that provides users with data-driven real-time insights and promotes sustainable farming practices is presented. This system is scalable and customizable, and leverages a distributed network of sensor modules to collect important environmental data that are communicated wirelessly. Designed for deployment in remote areas without internet access, the low-power sensor modules transmit data via long-range LoRa to a centralized base station, which does require internet connectivity. By tracking the location of each module and analyzing environmental data such as soil moisture and nutrient levels, the system enables robust environmental monitoring. The collected data is transmitted to the cloud, where it can be analyzed and used to provide artificial intelligence-aided suggestions for effective farming. This product utilizes efficiently powered embedded systems, paired with long-range LoRa wireless communication and cloud-based data infrastructure to monitor diverse agricultural environments. The presented product can be easily extended to the ground sensor or aggregation of airborne sensors scenario.