AgriWater AI: Smart Irrigation and Water Monitoring System

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Authors: RAHUL B, HEMANTH BABU MB, YAMESH R
Cited by: 0

Abstract

This paper presents AgriWater AI, an artificial intelligence based smart irrigation and water monitoring system designed to predict crop water requirements using environmental data and machine learning techniques. The system collects temperature, humidity and soil moisture data, processes it using a regression based machine learning model, and provides irrigation recommendations through a web application interface. The proposed solution aims to reduce water wastage, improve irrigation efficiency and support sustainable agriculture.

Fields of Study & Subjects

Smart Agriculture and AI Irrigation Practices and Water Management Engineering and Agricultural Innovations

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Language
EN