Smart Agro-Irrigation System for Optimal Water Use

Lohitha Sree MPG Student (MCA), Dept. of Computer Applications, Mohan Babu University, Tirupati-517 102, Andhra Pradesh, IndiaShaik SalamAssociate Professor, Dept. of Computer Science & Engineering, Mohan Babu University, Tirupati-517 102, Andhra Pradesh, India

Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 121-125

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 24-04-2025

doi Logo doi.org/10.47001/IRJIET/2025.INSPIRE20

Abstract

An abstract Water Scarcity is increasingly becoming a problem in contemporary agriculture, and efficient water management is therefore a vital imperative. This project, smart agro- irrigation system for optimal water use, utilizes Artificial Intelligence (AI) and Machine Learning methods to maximize water usage in irrigation systems. The system combines Linear Regression, Clustering, and Q-Learning algorithms to study environmental factors like soil moisture, temperature, humidity, and weather conditions. Through real-time data processing, the model forecasts optimal water needs with minimal wastage of water and maximum crop health. This system improves resource utilization, minimizes manual intervention, and encourages sustainable agriculture. The use of data-driven decision-making enables farmers to harvest more with less water usage, ultimately leading to environmental protection and enhanced agricultural output.

Keywords

Smart irrigation, Water optimization, Artificial intelligence (AI), Machine learning (ML), Sustainable farming, Environmental monitoring, Soil moisture forecasting, K-Means clustering


Citation of this Article

Lohitha Sree M, Shaik Salam. (2025). Smart Agro-Irrigation System for Optimal Water Use. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 121-125. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE20

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