AI-Based Smart Irrigation Systems for Efficient Water Management and Sustainable Agricultural Practices

Author(s)	Lalitha Reddy, Badam
Country	United States
Abstract	Artificial intelligence (AI)-based smart irrigation systems are increasingly transforming agricultural water management by enabling precise, automated, and data-driven irrigation decisions. Traditional irrigation practices often result in water wastage, uneven distribution, excessive energy use, and reduced crop productivity due to poor monitoring and limited responsiveness to environmental conditions. This study reviews how AI-driven techniques, including machine learning, predictive analytics, sensor networks, and IoT-enabled systems, improve irrigation scheduling, soil moisture monitoring, weather forecasting, and resource optimization. The study further examines how these smart systems support sustainable agricultural practices through improved water-use efficiency, reduced operational costs, enhanced crop performance, and stronger environmental sustainability. The review finds that AI-based irrigation systems provide a practical pathway for achieving efficient water management and precision agriculture, although adoption may be constrained by infrastructure, technical capacity, and implementation cost in developing regions.
Keywords	Artificial intelligence, smart irrigation, water management, sustainable agriculture, IoT, precision agriculture.
Field	Engineering
Published In	Volume 14, Issue 2, April-June 2023
Published On	2023-06-09

About IJSAT Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us	Message on WhatsApp	+91-9687-182-185	editor@ijsat.org

International Journal on Science and Technology