As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...

CAMBRIDGE, MA -- Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in weather and climate, but a new study by MIT researchers ...

Modern agriculture is a data-rich but decision-constrained domain, where traditional methods struggle to keep pace with ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Overview AI in soil health analysis enables faster, more accurate assessment of soil conditions using data from sensors, ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...