Development of Spectroscopic Sensor System for an IoT Application of Adulteration Identification on Milk Using Machine Learning

Development of Spectroscopic Sensor System for an IoT Application of Adulteration Identification on Milk Using Machine Learning

Adulteration in milk is a common scenario for gaining extra profit, which may cause severe harmful effects on humans. The qualitative spectroscopic technique provides a better solution for detecting the toxic contents of milk and foodstuffs. All the available spectroscopic methods for milk adulteran...

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Bibliographic Details
Main Authors: N. Sowmya, Vijayakumar Ponnusamy
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Back propagation algorithm
K-means clustering
machine learning
milk adulteration
multispectral spectroscopy
neural network
Online Access:https://ieeexplore.ieee.org/document/9393967/

Internet

https://ieeexplore.ieee.org/document/9393967/

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