Prediction of wheat yield and protein using remote sensors on plots - Part I: Assessing near infrared model robustness for year and site variations

Journal of Near Infrared Spectroscopy

Volumn 21, Issue 2, 2013, Pages 117-131

  Overgaard, Stein I ^a,b   Isaksson, Tomas ^b   Korsaeth, Audun ^a  

^a NORWEGIAN INSTITUTE OF BIOECONOMY RESEARCH   (Norway)

^b NORWEGIAN UNIVERSITY OF LIFE SCIENCES   (Norway)

Author keywords

FieldSpec; Hyperspectral; Model robustness; Near infrared spectroscopy; Powered partial least squares; Precision agriculture; Spectral reflectance; Variable selection; Vegetation index

Indexed keywords

FORECASTING; INFRARED DEVICES; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; NEAR INFRARED SPECTROSCOPY; PRECISION AGRICULTURE; PROTEINS; REFLECTION; REMOTE SENSING; VEGETATION;

FIELDSPEC; HYPERSPECTRAL; MODEL ROBUSTNESS; PARTIAL LEAST SQUARE (PLS); SPECTRAL REFLECTANCES; VARIABLE SELECTION; VEGETATION INDEX;

GRAIN (AGRICULTURAL PRODUCT);

EID: 84876589643     PISSN: 09670335     EISSN: 17516552     Source Type: Journal    
DOI: 10.1255/jnirs.1042     Document Type: Article

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