|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 187 - Issue 66 |
| Published: December 2025 |
| Authors: K. Ezhilarasan, B. Sreevidya, Bhavya S.A., Hamsa K.S. |
10.5120/ijca2025926112
|
K. Ezhilarasan, B. Sreevidya, Bhavya S.A., Hamsa K.S. . Automated System for Identifying Contaminants in Milk and Its Products. International Journal of Computer Applications. 187, 66 (December 2025), 23-27. DOI=10.5120/ijca2025926112
@article{ 10.5120/ijca2025926112,
author = { K. Ezhilarasan,B. Sreevidya,Bhavya S.A.,Hamsa K.S. },
title = { Automated System for Identifying Contaminants in Milk and Its Products },
journal = { International Journal of Computer Applications },
year = { 2025 },
volume = { 187 },
number = { 66 },
pages = { 23-27 },
doi = { 10.5120/ijca2025926112 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2025
%A K. Ezhilarasan
%A B. Sreevidya
%A Bhavya S.A.
%A Hamsa K.S.
%T Automated System for Identifying Contaminants in Milk and Its Products%T
%J International Journal of Computer Applications
%V 187
%N 66
%P 23-27
%R 10.5120/ijca2025926112
%I Foundation of Computer Science (FCS), NY, USA
Milk consumption has increased constantly, with milk being part of the diet of a large proportion of the global population. As a result of this growing demand, the increased competition in the dairy market, and the increasing complexity of the supply chain, the producers in the sector of milk and dairy products resort to technological fraud, which is considered as predominant problem in various countries.[30] Therefore, further research is required to educate the public about fraud or carelessness in milk production. Over time, as counterfeiting methods have become more complex, detection techniques have had to be developed in the same sequence. This paper aims to review the main adulterants, detection techniques, and various methods of detecting defilements in milk.