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Hyperspectral identification of oil adulteration using machine learning techniques

Food adulteration is a global concern, drawing attention from safety authorities due to its potential health risks. Detecting and categorizing oil adulteration is crucial for consumer safety and food industry integrity. This research explores hyperspectral imaging (HSI) analysis to identify substand...

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Principais autores: Muhammad Aqeel, Ahmad Sohaib, Muhammad Iqbal, Hafeez Ur Rehman, Furqan Rustam
Format: Artigo
Sprog:Inglês
Udgivet: Elsevier 2024-01-01
Serier:Current Research in Food Science
Fag:
Adulteration
Edible oil
Food quality control
Hyperspectral imaging
Artificial intelligence
Machine learning
Online adgang:http://www.sciencedirect.com/science/article/pii/S2665927124000996
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