You want to have a clear understanding of what’s influencing your crop yield data. Sorting through your data with the help of ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

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 ...

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 ...