Browsing Human Ecology and Dietetics Department by Subject "machine learning"
Now showing items 1-1 of 1
-
Feature Reduction for the Classification of Bruise Damage to Apple Fruit Using a Contactless FT-NIR Spectroscopy with Machine Learning
(MDPI, 202)Spectroscopy data are useful for modelling biological systems such as predicting quality parameters of horticultural products. However, using the wide spectrum of wavelengths is not practical in a production setting. Such ...