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 ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

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 ...

Samuel B. Fernandes, an assistant professor of agricultural statistics and quantitative genetics, and his team were honored for developing models that integrate plant physiology and environmental ...

Influence of nitrogen on vegetative growth of wheat is significant, and can be monitored and assessed using vegetation indices derived from canopy reflectance at different phenological growth stages.

urdue Extension and United States Department of Agriculture (USDA) experts gathered virtually on Wednesday (Aug. 12) to discuss the results of the 2020 USDA crop report and the current status of ...

Gold mountains of corn could once again dominate Nebraska’s landscape this fall if USDA predictions of another record-setting crop in the state come true. The USDA’s National Agricultural Statistics ...