Cited by 33Spectroscopy and Chemometric AnalysesSoil Geostatistics and MappingRemote Sensing in Agriculture

Prediction of chemical and biological variables of soil in grazing areas with visible- and near-infrared spectroscopy

Open access
Gandariasbeitia, Maite, Besga, Gerardo, Albizu, Isabel, Larregla, Santiago, Mendarte, Sorkunde·2017·Geoderma

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Registry

Crossref · 10.1016/j.geoderma.2017.05.045

Cites

53 of 53 references verified0 citation errors · 0 not checkable

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Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Soil sensing approaches such as spectroscopic techniques offer the opportunity to measure various soil chemical, physical and biological parameters in a fast and inexpensive way.

    “soil sensing approaches such as spectroscopic techniques, e.g. near-infrared spectroscopy and remote sensing, o ff er the opportunity to measure various soil chemical, physical and biological parameters in a fast and inexpensive way”

    From Soil quality – A critical review (2018) · cites this paper as Gandariasbeitia et al., 2017

  • In spectroscopic analysis, the prediction is as good as the calibration data set.

    “a calibration step is used to relate the spectral information to soil characteristics (Gandariasbeitia et al., 2017) and the prediction is as good as the calibration data set.”

    From Soil quality – A critical review (2018) · cites this paper as Gandariasbeitia et al., 2017

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Authors
Gandariasbeitia, M., Besga, G., Albizu, I., Larregla, S., & Mendarte, S.
Affiliations
NEIKER, Basque Institute for Agricultural Research and Development (ES)
Corresponding author
Mendarte, Sorkunde
Venue
Geoderma
Publisher
Elsevier BV
Published
2017-11
Volume
305
Pages
228-235
ISSN
0016-7061 (ISSN-L)
OpenAlex
W2625924182
Cited by
33
References
57
Citations by year
2026: 3 · 2025: 5 · 2024: 4 · 2023: 4 · 2022: 1 · 2021: 5 · 2020: 3 · 2019: 5 · 2018: 3
FWCI
2.02
Type
journal article
Language
en
Open access
Locations
Geoderma (acceptedVersion)
Funders
Life SOIL-Montana Project (LIFE10NAT/ES/00579)
Topics
  • Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
  • Physical Sciences › Environmental Science › Environmental Engineering › Soil Geostatistics and Mapping
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
Keywords
visible and near-infrared spectroscopy, soil chemical properties, soil biological properties, pasture, grassland monitoring, soil pH, soil organic matter, total nitrogen, Olsen phosphorus, extractable potassium, basal respiration, sample homogenization, soil sample preparation, partial least squares regression, Basque Country

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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