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.

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 ...

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 ...

RAIPUR: Chhattisgarh’s advancements in irrigation efficiency and water conservation have received national recognition, with ...

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 ...

Introduction Irrigation, the artificial application of water to crops, has been used by humans for thousands of years. Ancient civilizations built complex irrigation systems without the aid of modern ...

If you would like to learn more about the IAEA’s work, sign up for our weekly updates containing our most important news, multimedia and more. Tea is Tanzania's fifth largest export crop, and the ...

ITHACA, N.Y. - Fresh water isn't unlimited. Rainfall isn't predictable. And plants aren't always thirsty. Just 3 percent of the world's water is drinkable, and more than 70 percent of that fresh water ...