| Autor: |
Jonathan Sanderman, Colleen Smith, José Lucas Safanelli, Cristine L.S. Morgan, Jason Ackerson, Nathaniel Looker, Cara Mathers, Rebecca Keating, Ashok A. Kumar |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Soil Security, Vol 13, Iss , Pp 100104- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2667-0062 |
| DOI: |
10.1016/j.soisec.2023.100104 |
| Popis: |
While diffuse reflectance Fourier transform mid-infrared spectroscopy (mid-DRIFTS) has been established as a viable low-cost surrogate for traditional soil analyses, the assumed need for fine milling of soil samples prior to analysis is constraining the commercial appeal of this technology. Here, we reevaluate this assumption using a set of 2380 soil samples collected across North American agricultural soils. Cross-validation indicated that the best preprocessing (standard normal variate) and model form (memory-based learning) resulted in very good and nearly identical predictions for the |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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