Smart irrigation model predicts rainfall to conserve water Date: July 19, 2019 Source: Cornell University Summary: A predictive model combining information about plant physiology, real-time soil ...

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 ...

Kelly J. Bryant, James W. Mjelde, Ronald D. Lacewell, An Intraseasonal Dynamic Optimization Model to Allocate Irrigation Water between Crops, American Journal of ...

In April 2025, the first version of the mobile irrigation management app — PLAN ( was launched. At the time of release, Qiao ...

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 ...

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 ...

agriculture How an equitable model of irrigation brought change to a drought-prone region in Maharashtra Atpadi, once known as the ‘land of drought’, now has villages rich with fields of ...

Just 3% of the world’s water is drinkable, and more than 70% of that fresh water is used for agriculture. Unnecessary irrigation wastes huge amounts of water — some crops are watered twice as much as ...