Rapid Detection of Rice Adulteration Using a Low-Cost Electronic Nose and Machine Learning Modelling
Food fraud is one of the primary issues that may threaten consumers’ trust and confidence in the food industry. Detecting food fraud, such as rice adulteration, is challenging since the adulterant looks identical to authentic rice. Moreover, the detection procedure is commonly time-consuming and req...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-11-01
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| Series: | Engineering Proceedings |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-4591/27/1/1 |