UGC Approved Journal no 63975(19)

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

Volume 10 Issue 12
December-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2312731


Registration ID:
530719

Page Number

h274-h277

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Title

FOOD CONTAMINATION DETECTION USING AI

Abstract

This study focuses on vital factors of meal packaging to ensure the safety and nice of packaged meals all through the delivery chain. It examines the migration of materials from packaging substances into food, evaluating the impact of chemical compounds, components, and additives on food protection. The observation also explores interactive packaging conscious of outside factors, aiming to decorate meals high-quality even as prioritizing protection. Antimicrobial packaging's effectiveness in stopping pathogen growth is scrutinized, emphasizing long-term antimicrobial properties for usual food protection. Evaluation of packaging substances' barrier houses against contaminants is critical for figuring out materials that offer the most effective protection throughout the supply chain. The research extends to assessing the impact of transportation and handling on meal packaging integrity, exploring vulnerabilities to harm and capacity infection all through transit. Safety implications of incorporating recycled packaging substances are addressed, making sure the protection of recycled substances. Innovative answers like clever sensors are explored for detecting breaches and enhancing packaging integrity. The look additionally assesses allergen infection dangers from packaging materials and examines consumer handling practices, aiming to expand guidelines for minimizing contamination dangers. The overarching purpose is to set up suggestions making sure purchaser protection and uphold the general integrity of the packaged meals delivery chain.

Key Words

Food Packaging Safety, Migration of Materials, Antimicrobial Packaging, Barrier Properties, Transportation Impact, Smart Sensors in Packaging

Cite This Article

"FOOD CONTAMINATION DETECTION USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 12, page no.h274-h277, December-2023, Available :http://www.jetir.org/papers/JETIR2312731.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

"FOOD CONTAMINATION DETECTION USING AI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 12, page no. pph274-h277, December-2023, Available at : http://www.jetir.org/papers/JETIR2312731.pdf

Publication Details

Published Paper ID: JETIR2312731
Registration ID: 530719
Published In: Volume 10 | Issue 12 | Year December-2023
DOI (Digital Object Identifier):
Page No: h274-h277
Country: Thane, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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