UGC Approved Journal no 63975(19)

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1908E47


Registration ID:
516470

Page Number

339-342

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Title

DEEP LEARNING-BASED FRUIT DETECTION AND FRESHNESS GRADING

Authors

Abstract

in Fruit freshness grading is an innate ability of humans to identify . However, there wasn't much work that specialized in making a fruit grading system supported by digital pictures in deep learning. The algorithmic program projected during this article has the potential to be used, therefore, to avoid wasting fruits or save fruits from discard. During this article, we tend to gift a comprehensive analysis of freshness grading theme mistreatment pc vision and deep learning. Therefore, we tend to construct a unique neural network model for fruit detection and freshness grading relating to multiclass fruit classification.

Key Words

CNN · Deep learning · Fruit freshness grading

Cite This Article

"DEEP LEARNING-BASED FRUIT DETECTION AND FRESHNESS GRADING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.339-342, June-2019, Available :http://www.jetir.org/papers/JETIR1908E47.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

"DEEP LEARNING-BASED FRUIT DETECTION AND FRESHNESS GRADING ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp339-342, June-2019, Available at : http://www.jetir.org/papers/JETIR1908E47.pdf

Publication Details

Published Paper ID: JETIR1908E47
Registration ID: 516470
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 339-342
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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