STI Nexus(Smart Thermal Irrigation System)

This project represents a Smart Irrigation integrated with Thermal Imaging to address inefficient water usage and soil related anomalies. The system uses a soil moisture sensor that runs routine customized automatic irrigation. The customization is according to predefined crop requirements such as watering duration and interval. To enhance reliability an infrared thermal sensor is provide to further conserve water and deal with soil anomalies. A Machine Learning model is provided which is trained to predict rainfall and give an irrigation decision to the farmer. A semi-automatic kill-switch mechanism is incorporated, wherein the farmer is notified of overwatering conditions and confirmation control over activating corrective action of drainage and eventual storing is given. For confirmed overwatering, the system captures and stores a thermal snapshot as evidence right before the farmer is notified. The irrigation system automatically recovers to normal operation once safe conditions are restored. A manual on and off button is also provided. A web-based interface with NLP enables real-time monitoring, alerts, and manual control, ensuring farmer involvement and transparency. The proposed approach improves water efficiency, prevents soil damage, and introduces a robust, farmer-centric decision-support mechanism for precision agriculture and achieve a higher yield.