AI-Driven Solutions for Sustainable Irrigation

Abstract

Lack of water and poor use of water for irrigation are significant issues affecting food security and environmental conservation around the world. Precision irrigation systems based on artificial intelligence use soil moisture prediction, evapotranspiration, and crop water stress for the precise application of water. Smart allocation and scheduling make use of accurate time weather data to optimize the time and quantity of water to be used in irrigation. In predictive maintenance, IoT sensors and machine learning are used to identify and solve equipment problems before they occur, while AI keeps water quality appropriate for the crops.By integrating AI with existing conservation practices and indigenous knowledge, it is possible to generate site-specific and sustainable approaches to the use of water in different agricultural settings. While climate change aggravates the water deficit worldwide, AI holds the potential to pave better ways for sustainable and secure food production.