Comparing the effect of different sample conditions and spectral libraries on the prediction accuracy of soil properties from near- and mid-infrared spectra at the field-scale.

Breure, T S; Prout, J M; Haefele, S M; Milne, A E; Hannam, J A; Moreno-Rojas, S; Corstanje, R

Breure, T S; Prout, J M; Haefele, S M; Milne, A E; Hannam, J A; Moreno-Rojas, S; Corstanje, R.

Afiliación

Breure TS; Rothamsted Research, Harpenden AL5 2JQ, United Kingdom.
Prout JM; Cranfield University, Cranfield, Bedfordshire MK43 0AL, United Kingdom.
Haefele SM; Rothamsted Research, Harpenden AL5 2JQ, United Kingdom.
Milne AE; Cranfield University, Cranfield, Bedfordshire MK43 0AL, United Kingdom.
Hannam JA; Rothamsted Research, Harpenden AL5 2JQ, United Kingdom.
Moreno-Rojas S; Rothamsted Research, Harpenden AL5 2JQ, United Kingdom.
Corstanje R; Cranfield University, Cranfield, Bedfordshire MK43 0AL, United Kingdom.

Soil Tillage Res ; 215: 105196, 2022 Jan.

Article en En | MEDLINE | ID: mdl-35110784

Palabras clave

In-situ spectroscopy; Local-regional scale; National Soil Inventory; Partial least-squares regression; Spiking

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Soil Tillage Res Año: 2022 Tipo del documento: Article País de afiliación: Reino Unido

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