Recent advancements in hyperspectral imaging and machine learning have revolutionized the non-destructive monitoring of crop nutritional status, enabling accurate prediction of plant element ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

The results singled out growing-degree days as the most important climatic factor and water holding capacity as the most influential soil property for crop-yield variability. The capacity of soil to ...

A field planted with cereal rye, one of the most common cover crops in Iowa. Photo by Ally Larson/Iowa State University. AMES, Iowa – Planting ground cover in fields between cash crop growing seasons ...