Automated Agricultural Monitoring System Using STM32, LoRa, and Cloud Integration

This project focuses on developing an STM32-based agricultural monitoring system employing key components such as a soil moisture sensor, DHT11 for temperature and humidity sensing, and a water pump. The system's objective is to automate irrigation by activating the water pump when the soil moisture sensor detects insufficient moisture levels. Conversely, the pump deactivates when adequate moisture is detected. Data collected from these sensors is transmitted wirelessly using LoRa technology from the transmitter to the receiver. At the receiver end, a NodeMCU module integrates with the system to relay this data to the cloud platform, specifically Thingspeak. Thingspeak serves as the central repository where real-time and historical data on soil moisture, temperature, and humidity are logged and can be accessed remotely. This integrated approach facilitates efficient agricultural management, allowing farmers to monitor and optimize irrigation schedules based on accurate environmental data.