A Solar Power-Enabled and LoRa-Based Smart Irrigation and Monitoring System
摘要
In addition to being wasteful, traditional irrigation methods fail to adapt to field conditions. Recent advancements in IoT and ML can help overhaul the existing systems. This paper presents a novel low-cost automated irrigation and soil monitoring system that uses ML and is powered by solar energy. Real-time sensing and monitoring of field conditions minimizes the need for manual intervention. Automation means the system is adaptive and reduces water loss. An ESP32 microcontroller and an Arduino Uno are used to implement a prototype, along with sensors for soil moisture, humidity, temperature, and reservoir water level. Long-range communication is enabled by LoRa technology, and the Adafruit IO platform is used as an MQTT broker. An Android application is developed for on-the-go monitoring.