Dataset for Rice Irrigation System

This dataset can be used to present several key innovations in the development of an AI-IoT-based Smart Irrigation System specifically designed for rice plants by considering local agronomic characteristics. First, this system integrates four key input parameters to ensure precision and adaptability in irrigation management: (1) rice plant growth phase, which determines the adjustment of the dose, irrigation frequency; (2) soil moisture, as the main indicator to activate irrigation only when the soil water content is below the optimal threshold; (3) Light Intensity; (4) air temperature and (5) and air humidity (measured using a DHT22 sensor), which plays a role in mitigating plant stress due to extreme microclimate conditions.