UGC Approved Journal no 63975(19)

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

Volume 9 Issue 8
August-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFP06072


Registration ID:
500147

Page Number

414-418

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Title

POMEGRANATE QUALITY GRADING USING DEEP LEARNING.

Abstract

In India, economically agricultural fields are very important. Pomegranate is one of the commercial fruits in India. Nowadays, the conditions become worse because of bacterial diseases and insect infestation. Detection of fruit quality and grading them is much more needed, for that modern agriculture techniques and systems are designed. In this system, we grade the pomegranate into three different categories based on their external feature like colour, shape, texture, spots, etc. The proposed system consists of image pre-processing, segmentation, extraction of features (such as shape, colour and texture) and classification. For deep learning, a training model is developed using CNN algorithm and python programming language, which is based on artificial neural networks and detect the quality of pomegranate.

Key Words

Pomegranate, CNN, Deep Learning, algorithm, quality, preprocessing, grading.

Cite This Article

"POMEGRANATE QUALITY GRADING USING DEEP LEARNING.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.414-418, August-2022, Available :http://www.jetir.org/papers/JETIRFP06072.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

"POMEGRANATE QUALITY GRADING USING DEEP LEARNING.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp414-418, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06072.pdf

Publication Details

Published Paper ID: JETIRFP06072
Registration ID: 500147
Published In: Volume 9 | Issue 8 | Year August-2022
DOI (Digital Object Identifier):
Page No: 414-418
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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