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Smart Rice Yield Prediction Using IoT and AI

Authors:

Ayush Dubey, MD Shadab Khan

ABSTRACT: In today’s world, farming is becoming increasingly difficult due to unpredictable climate changes and limited access to real-time information. This project aims to support farmers by using modern technologies like the Internet of Things (IOT) and Artificial Intelligence (AI) to make rice farming smarter and more climate resilient. We have developed a system that can moniter key environmental factors such as soil Ph, temperature, humidity and water level suing sensors. These readings are collected and analyzed to help predict the yield of rice crops accurately. By combining sensors data with Ai based decision-making, our system not only helps in understanding the current conditions of the field but also guides farmers in making better farming decisions. This approach supports both kharif and rabi crops seasons, allowing farmers to adapt more easily to changing weather conditions and make the most out of their efforts. The overall goal is to make agriculture more efficient, climate-aware, and farmer friendly.