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Near infrared spectroscopy on agricultural harvesters: data
management and modelling Christian Paul,a Heinrich Prüferb and Juan Manuel
Montesc
aFederal Research Centre for Cultivated Plants (JKI), Institute for Crop and Soil Science, Bundesallee 50, D-38116 Braunschweig,
Germany
bSensoLogic GmbH, Hummelsbütteler Steindamm 78A, D-22851 Norderstedt, Germany
cInstitute of Plant Breeding, Seed Science
and Population Genetics, University of Hohenheim, Fruwirthstr. 21, D-70593 Stuttgart, Germany
ABSTRACT:
This second article in the series discusses the many conceptual and
logistical challenges which arise when agricultural NIR applications are brought from batch-wise laboratory testing to continuous in-line quality control on harvesters.
Keywords:
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