Hyperspectral Identification of Milk Adulteration Using Advance Deep Learning
Food adulteration poses significant health risks globally and is rigorously monitored by safety authorities. In developing nations, where milk is highly prone to contamination (with Brazil, India, China, and Pakistan producing half of the world’s milk), stringent detection and classification...
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| Hoofdauteurs: | , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
IEEE
2024-01-01
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| Reeks: | IEEE Access |
| Onderwerpen: | |
| Online toegang: | https://ieeexplore.ieee.org/document/10759634/ |
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