A Review on Machine Learning based Oil Adulteration Determination Techniques-Reference-Cited by-同舟云学术

A Review on Machine Learning based Oil Adulteration Determination Techniques

Published:2022-05-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
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Author:

Natarajan Sowmya¹^ORCID,Ponnusamy Vijayakumar¹^ORCID

Affiliation:

1. SRM Institute of Science and Technology,Department of ECE,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9792618/9792586/09793014.pdf?arnumber=9793014

Reference36 articles.

1. Detection of adulteration in virgin olive oil using a fiber optic long period grating based sensor

2. Quantification of extra virgin olive oil adulteration using smartphone videos

3. Latest trends, applications and innovations in motion estimation research;vijaykumar;International Journal of Scientific & Engineering Research,2011

4. Transmittance Multispectral Imaging for Adulteration Assessment of Coconut Oil

5. Detecting Food Fraud in Extra Virgin Olive Oil Using a Prototype Portable Hyphenated Photonics Sensor

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2. Detection of Adulteration in Clarified Butter by Using Machine Learning;Lecture Notes in Electrical Engineering;2024

3. Edible Oil Adulteration Detection using CatBoost Regression Model;2023 2nd International Conference on Edge Computing and Applications (ICECAA);2023-07-19