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.

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

Most reservoirs in Sri Lanka are agriculture and hydropower dominated. Reservoir operators are often unwilling to acknowledge ...

In the constantly changing environment of precision agriculture, it can be difficult to winnow through the array of available ...

The school district plans to begin a remediation project in the spring to improve the health of the field, which is still too ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

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The International Water Management Institute (IWMI), in partnership with Farmerline and Pumptech, has launched IRRILINE, an ...

As Venkat Lakshminarasimha, Executive Director, DISC – Solutions – India & Middle East, Dexian India, perfectly captures, ...

We won’t know what sort of innovation we’ll miss because of this," an analyst said. "But we’ll probably miss out on something ...

SRH Landscapes LLC announced the introduction of landscape architecture services across additional North Dallas communities. The Dallas‑based firm authorized this release and is the primary media ...

Farmers have increasingly sown a single type of grass in their fields over the past 100 years, and then added chemical ...