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.
B et al. (Thu,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: