Application of spectroscopic and multispectral imaging technologies on the assessment of ready-to-eat pineapple quality: A performance evaluation study of machine learning models generated from two commercial data analytics tools

Title
Application of spectroscopic and multispectral imaging technologies on the assessment of ready-to-eat pineapple quality: A performance evaluation study of machine learning models generated from two commercial data analytics tools
Authors
Keywords
Pineapple, Quality, Vibrational spectroscopy, Multispectral imaging, Machine learning, SorfML
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 175, Issue -, Pages 105529
Publisher
Elsevier BV
Online
2020-06-04
DOI
10.1016/j.compag.2020.105529

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