Healthy soils are essential for agriculture, clean water, and climate adaptation, but they vary across landscapes and change over time. Until now, it’s been difficult to disentangle all the important factors (climate, inherent soil properties, and land use and management) that influence soil health. Cornell Soil Health researchers have developed new machine learning models by analyzing a large dataset of soil health results from across NYS.