Linear and non-linear pattern recognition models for classification of fruit from visible–near infrared spectra
By Jaesoo Kim, A. Mowat, P. Poole, Nikola K. Kasabov. 2000
84 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Biophysics, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/55d3265d653cfa22dfd90cf25bd7a228f04103c3
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In Analytical Chemistry
In Biophysics
Citations in the corpus
- NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review (2012, methodology): “One of the main problems encountered in product characterisation from NIR spectra has been the large volume of primary data (typically between 250 and 2,000 points per spectrum, depending on the spectrum used) (Kim et al. 2000).”