Smart irrigation : Water estimation in agriculture

Abstract

The integration of artificial intelligence in agriculture is helping to solve the problems caused by traditional irrigation methods, which often lack precision, wasting water and increasing complexity for farmers.For this reason, we propose in this work a smart irrigation application ,which improves the use of IoT objects using AI methods. This application harnesses AI to deliver tailored irrigation recommendations based on crop type, growth stage, soil conditions, and weather forecasts. By optimizing watering schedules, the app aims to maximize crop yields while minimizing water usage and operational costs. Through real-time data analysis, our solution offers a streamlined approach to irrigation management, empowering farmers to enhance resource efficiency and agricultural productivity.