AgriWater AI: Smart Irrigation and Water Monitoring System
Year: 2026
Type: conference-paper
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.
Authors: RAHUL B, HEMANTH BABU MB, YAMESH R
Institution: Saveetha University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7127965924
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