Deiss, Leonardo
Margenot, Andrew J.
Culman, Steve W.
Demyan, M. Scott
Funding for this research was provided by:
Foundation for Food and Agricultural Research
School of Environment and Natural Resources at Ohio State University
This article is maintained by: Elsevier
Article Title: Tuning support vector machines regression models improves prediction accuracy of soil properties in MIR spectroscopy
Journal Title: Geoderma
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.geoderma.2020.114227
Content Type: article
Copyright: © 2020 Elsevier B.V. All rights reserved.