UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRFX06086


Registration ID:
516929

Page Number

498-502

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Title

DETECTION OF FRUITS ADULTERATION

Abstract

Food adulteration is the process of lowering the quality of food items by introducing or replacing them with harmful substances to people’s health. It covers not only the purposeful addition or replacement of an ingredient but also contamination that occurs when food items are being produced, stored, or distributed. Adulteration is become a profitable profession. India has a culture where “food is medicine,” as our predecessors once said. But the truth is that the fruits and vegetables we eat today no longer “contain vitamins and minerals; instead, they have been polished and pumped with toxic chemicals. Numerous diseases and early deaths have been caused by adulterants in contaminated food. The fruit adulteration system using machine learning is presented. The system uses ESP32andMQ gas sensor. The collected data is trained and test using machine learning algorithm.

Key Words

EPS32, MQ2, MQ3, MQ135

Cite This Article

"DETECTION OF FRUITS ADULTERATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.498-502, May-2023, Available :http://www.jetir.org/papers/JETIRFX06086.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"DETECTION OF FRUITS ADULTERATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp498-502, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06086.pdf

Publication Details

Published Paper ID: JETIRFX06086
Registration ID: 516929
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: 498-502
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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