Yanhua Xie is helping address global fresh water challenges by creating groundbreaking models and datasets of agricultural ...

An international team of researchers from the University of Bergen and other leading institutions expose severe limitations in large-scale hydrological models that produce estimates for water ...

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.

Irrigated agriculture is the planet's largest consumer of freshwater and ultimately produces more than 40% of food worldwide. Yet the exact amounts of water actually being used in irrigation remains ...

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 ...

Plantae, a start-up supported by the C3N-IA Science Park at Universidad Carlos III de Madrid (UC3M) and specializing in precision agriculture, has developed new predictive models using artificial ...

Researchers at Cornell University in the U.S. have developed a novel optimization model for agrivoltaic site design and benefits, which was demonstrated using irrigation-optimization relative to ...

Trajectory of irrigation water use in many regions is unsustainable, but practice is vital in managing climate change and future agricultural development, researchers conclude. The analysis, which ...

ITHACA — Fresh water isn’t unlimited. Rainfall isn’t predictable. And plants aren’t always thirsty. Just 3% of the world’s water is drinkable, and more than 70% of that fresh water is used for ...