Improving the performance of the model developed from the classification of adulterated honey with different botanical origins based on near-Infrared hyperspectral imaging system and supervised classification algorithms-Reference-Cited by-同舟云学术

Improving the performance of the model developed from the classification of adulterated honey with different botanical origins based on near-Infrared hyperspectral imaging system and supervised classification algorithms

Published:2023-06 Issue: Volume:131 Page:104692
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Siano Dharell B.^ORCID,Abdullakasim Wanrat,Terdwongworakul Anupun,Phuangsombut Kaewkarn^ORCID

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference40 articles.

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3. Applications of hyperspectral imaging technology in the food industry;Nature Reviews Electrical Engineering;2024-03-26