A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.

The domestic drip irrigation system, developed by city-based environment and wildlife filmmaker Vilas Kane, uses the principle of capillary motion to water plants. He created the model after several ...

Stanford researchers developed a new tool to optimize irrigation systems to help farmers reduce their water usage. Daniel Tartakovsky, professor of energy science and engineering, and Weiyu Li Ph.D.

https://doi.org/10.2307/1243989 • https://www.jstor.org/stable/1243989 Copy URL A dynamic programming model that allocates irrigations among competing crops, while ...

A predictive model combining information about plant physiology, real-time soil conditions and weather forecasts can help make more informed decisions about when and how much to irrigate. This could ...

Atpadi, a taluka (administrative division) in the Sangli district of southern Maharashtra, covers approximately 60 villages with a population of over 1.5 lakh (1,50,000). It falls on the upper reaches ...

Water scarcity and the high cost of energy represent the main problems for irrigation communities, which manage water for this end, making it available to agriculture. In a context of drought, with a ...

A new model of minor irrigation through sub-surface porous vessels (SSPV) being developed here is set to benefit the farmers with small land holdings in the villages of the Thar desert. Experiments ...