AgriWater AI: Smart Irrigation and Water Monitoring System

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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.18497283
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

AgriWater AI: Smart Irrigation and Water Monitoring System

YAMESH R, RAHUL B, HEMANTH BABU MB
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

AgriWater AI: Smart Irrigation and Water Monitoring System

YAMESH R, RAHUL B, HEMANTH BABU MB
article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Saveetha University (IN)
Zero hunger
Openalex Percentile: Top 66%
Smart Agriculture and AI
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