Water Resource Managements in Soil and Soilless Irrigation Systems Using AI Techniques
R. Jeya, G. R. Venkatakrishnan, R. Rengaraj, M. Rajalakshmi, Krishan Kumar, Sampath Boopathi
Abstract
This chapter explores the integration of AI techniques in water resource management for soil-based and soilless irrigation systems in agriculture. It emphasizes the importance of AI in optimizing water use and data-driven decision-making. AI-powered techniques like machine learning and predictive analytics enable precise water optimization. Soilless systems like hydroponics, aquaponics, and aeroponics also contribute to water efficiency. AI is crucial in weather forecasting, climate adaptation, crop water estimation, and water use optimization in water-stressed environments. The chapter discusses successful AI implementations, cost-benefit analysis, ethical, social, environmental considerations, equity, access, and sustainability. Future prospects, advancements, and challenges in AI techniques for water management are explored, emphasizing the need for AI adoption in water-efficient farming practices.