Classification Learning of Latent Bruise Damage to Apples Using Shortwave Infrared Hyperspectral Imaging
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Title
Classification Learning of Latent Bruise Damage to Apples Using Shortwave Infrared Hyperspectral Imaging
Authors
Keywords
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Journal
SENSORS
Volume 21, Issue 15, Pages 4990
Publisher
MDPI AG
Online
2021-07-23
DOI
10.3390/s21154990
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- Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review
- (2012) Gamal Elmasry et al. CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
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