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Fig. 2 | CABI Agriculture and Bioscience

Fig. 2

From: Portable optical spectroscopy and machine learning techniques for quantification of the biochemical content of raw food materials

Fig. 2

Predictive Performance of % d.m. in cereal samples of CNN and PLS on the dataset when the samples from two species were considered together. Performance in terms of MAE (Mean Absolute Error) and R2 according to different preprocessing strategies (Raw: no treatment, smoothed: SG smoothing, SNV Standard Normal Variate, Areanorm: area normalization, UVN Unit Value Normalization)

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CABI Agriculture and Bioscience

ISSN: 2662-4044