Advancing soil health, nutrient management, and sustainable agriculture through research.

Predicting Soil Health Indicators in Florida Sandy Soils Using Diffuse Reflectance Mid-Infrared Fourier Transform Spectroscopy

Celestin, F., Deiss, L., Champiny, Ryan E., Dubeux, Jose C.B., Maltais-Landry, G., Mylavarapu, R., and Lin, Y

  • Partitioned spectra improved machine learning prediction
  • SVM and NN outperformed PLS
  • POX-C, ACE, and SOM were predicted accurately
  • Mid-DRIFTS enables rapid soil health assessment

Cropping system is a key determinant of soil health after accounting for environmental and edaphic variability

Celestin, F., Dubeux, Jose C.B., Maltais-Landry, G., Mylavarapu, R., and Lin, Y

  • Grazed pastures had higher organic matter and carbon indicators than row crops.
  • Soil pH and PSR were elevated in row crop systems.
  • Cropping system consistently affected carbon-based indicators.
  • The relative importance of environmental and edaphic variables was indicator-specific.