Predictability in agriculture is about as hard to find as a needle in a haystack. When you’re trying to prevent pest and disease pressures from devastating your yield, your approach to crop management ...

A research team has developed a new artificial intelligence (AI) model that harnesses unmanned aerial vehicle (UAV) data to ...

New Michigan State University research found that incorporating in-season water deficit information into remote sensing-based crop models significantly improves corn yield predictions. The new ...

The latest Soybean Growth Monitoring Yield Prediction report from MU Extension predicts lower soybean yields due to a lack of rainfall.

With the goal of popularizing the use of readily available data sets from numerical weather prediction models in crop yield forecasting, we present a comparative analysis of end of season forecasts of ...