Smart irrigation model predicts rainfall to conserve water

(Cornell University) 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 save 40 percent of the water consumed by more traditional methods, according to new Cornell University research.

Source: EurekAlert! - Biology - July 19, 2019 Category: Biology Source Type: news