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Smart Milk Adulteration Detection
Chirag Chandnani1, Harsh Belani2, Naman Bansal3, Mani Roja Edinburgh4
1Chirag Chandnani, Student, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College (Mumbai University) Mumbai India.
2Harsh Belani, Student, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College (Mumbai University) Mumbai India.
3Naman Bansal, Student, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College (Mumbai University) Mumbai India.
4Dr Mani Roja M., Professor, Department of Electronics and Telecommunication, Thadomal Shahani Engineering College (Mumbai University) Mumbai India.

Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10481-10486 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4229118419/2019©BEIESP | DOI: 10.35940/ijrte.D4229.118419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Adulteration is extremely basic today and the most normally adulterated nourishment item is milk. The most widely recognized explanation behind adulteration is the utilization by producers of undeclared materials that are less expensive than the right and pronounced ones. Adulteration brings down the nature of nourishment and now and then, harmful synthetic substances are likewise added which can be dangerous to health. Adulteration of products either in liquid or solid form can harm or pose serious health risk issues to the consumer. The present investigation was arranged with the primary goal of recognizing purchasing practices of homemakers and their degree of awareness identified with chosen food items. Being considerate of the health & betterment of the society we have planned a project which will allow the customer to know about the level of purity of product which they are buying and being aware of it in future.
Keywords: The Present Investigation Was Arranged With The Primary Goal of Recognizing Purchasing
Scope of the Article: Image Processing and Pattern Recognition.