Milk adulteration identification using hyperspectral imaging and machine learning
ABSTRACT: Milk adulteration poses a global concern, with developing countries facing higher risks due to unsatisfactory monitoring systems and policies. Surprisingly, this common issue has often been overlooked in many countries. Contrary to popular belief, adulterants in milk can result in severe h...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2025-02-01
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| Serie: | Journal of Dairy Science |
| Soggetti: | |
| Accesso online: | http://www.sciencedirect.com/science/article/pii/S0022030224012992 |
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