The Potential for Hyperspectral Imaging and Machine Learning to Classify Internal Quality Defects in Macadamia Nuts

The Potential for Hyperspectral Imaging and Machine Learning to Classify Internal Quality Defects in Macadamia Nuts

Tree nuts are rich in nutrients, and global production and consumption have doubled during the last decade. However, nuts have a range of quality defects that must be detected and removed during post-harvest processing. Tree nuts can develop hidden internal discoloration, and current sorting methods...

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Bibliographic Details
Main Authors: Michael B. Farrar, Marcela Martinez, Kim Jones, Negar Omidvar, Helen M. Wallace, Thomas Chen, Shahla Hosseini Bai
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Horticulturae
Subjects:
brown center disorder
internal discoloration
macadamia
machine learning
post-harvest processing
food quality inspection
Online Access:https://www.mdpi.com/2311-7524/10/11/1129
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