International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

Smart Agro-Irrigation System for Optimal Water Use

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.

Country : India

1 Lohitha Sree M2 Shaik Salam

  1. PG Student (MCA), Dept. of Computer Applications, Mohan Babu University, Tirupati-517 102, Andhra Pradesh, India
  2. Associate Professor, Dept. of Computer Science & Engineering, Mohan Babu University, Tirupati-517 102, Andhra Pradesh, India

IRJIET, Volume 9, Special Issue of INSPIRE’25 April 2025 pp. 121-125

doi.org/10.47001/IRJIET/2025.INSPIRE20

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References

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