Mid-Infrared Spectroscopy: A Faster Pathway to Soil Health Assessment
This research explores how Mid-DRIFTS and machine learning can rapidly predict biological soil health indicators.
This research explores how Mid-DRIFTS and machine learning can rapidly predict biological soil health indicators.
Understanding how management practices influence soil health indicators across Florida agroecosystems and their implications for sustainable management.