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 ...

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 ...

Scientists have trained an AI algorithm to count the number of flowers on fruit trees using only smartphone images. The system could predict the size of a harvest months in advance — saving farmers ...

People have assumed climate change solutions that sequester carbon from the air into soils will also benefit crop yields. But a new study from Cornell University finds that most regenerative farming ...