IOT Based Environment Monitoring System with AI for Agriculture Farmers

Abstract

Rural farming communities are constantly facing issues related to inconsistent access to electricity, changing climate, and inefficient manual irrigation methods which result in wasted water, low yields, and reliance on labor. Farmers struggle with making irrigation scheduling decisions with climate variability affecting their ability to predict soil moisture, rainfall, or other changes to the environment. This project will propose a low-cost device with IoT-based EMS for agriculture farmers that smart irrigation management. Sensors are collect real-time field data, which is processed by an Arduino and sent to a PC for AI-based preprocessing, classification, and weather prediction. The system autonomously controls an irrigation valve to optimize water use, avoiding overwatering and conserving resources. It displays status on an LCD and enables remote monitoring via communication modules, promoting sustainable and data-driven farming.