Hamiyev, Akrom and Faxriddin, Qochqarov and Kholiyorov, Kholbek (2025) Optimizing Water Consumption in Agriculture Using an AI-Based Irrigation Management System. American Journal of Technology Advancement, 2 (6). pp. 91-94. ISSN 2997-9382

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Abstract

Water scarcity is a critical challenge for sustainable agriculture, necessitating innovative approaches to optimize irrigation. This study presents an Artificial Intelligence (AI)-based irrigation management system designed to enhance water use efficiency in agricultural settings. By integrating real-time data from soil moisture sensors, weather forecasts, and crop water requirements, the system employs machine learning algorithms to generate precise irrigation schedules. Field trials in a semi-arid region demonstrated a 25% reduction in water usage while maintaining or improving crop yields compared to traditional methods. This paper discusses the system’s design, methodology, results, and potential for scalability in addressing global water conservation challenges

Item Type:	Article
Subjects:	S Agriculture > S Agriculture (General)
Divisions:	Postgraduate > Master's of Management
Depositing User:	Journal Editor
Date Deposited:	04 Sep 2025 06:59
Last Modified:	04 Sep 2025 06:59
URI:	http://eprints.umsida.ac.id/id/eprint/16331

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