Artificial Intelligence in Agricultural Water Management Research: Literature Review and Research Agenda

Abstract

Artificial intelligence (AI) enhances agricultural water management by enabling precise, efficient, and sustainable irrigation practices. With rising water scarcity and the demand for increased productivity in agriculture, AI-powered applications provide innovative approaches for irrigation scheduling, water use efficiency, and decision support. This study investigates the use of AI in agricultural water management, concentrating on methodology, applications, and advantages. Different case studies and developing algorithms are also discussed to provide a detailed understanding of AI- AI-transformative methods. The case studies show that incorporating AI into agricultural water management promotes sustainable practices by reducing water use and environmental effects. This proactive approach saves water, increases water use efficiency, and provides real-time monitoring of the main components of agricultural water management, contributing to sustainable irrigation and farming developments. Eventually, developing an AI-ANN model to assess the complex nonlinear relationships in water balance is essential for the large-scale assessment.