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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
WEB BASED APPLICATION FOR RECOGNITION OF DETERIORATION IN FRUITS BY MACHINE LEARNING
Authors
Jagadeesh B N, Chandana S, Apoorva J P, Kalyan kumar I B, Girish J
Keywords
Adulteration detection, CNN Algorithm, Image Acquisition, feature extraction, Image Segmentation.
Abstract
The project defines a fruit classification for identifying adulteration in fruits
using shape and complexion. The motive of this experimentation is to find the adulterated
fruits using machine learning approaches. Firstly, the various types of fruits are taken,
both adulterated and unadulterated they are captured using webcam. Then appearance,
pigmentation and texture are extracted from these images. Machine learning algorithm
like CNN is used for classification. The highest classification accuracy is obtained from
feature extraction.
IJCRT's Publication Details
Unique Identification Number - IJCRT2207442
Paper ID - 222859
Page Number(s) - d349-d353
Pubished in - Volume 10 | Issue 7 | July 2022
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Jagadeesh B N, Chandana S, Apoorva J P, Kalyan kumar I B, Girish J, "WEB BASED APPLICATION FOR RECOGNITION OF DETERIORATION IN FRUITS BY MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 7, pp.d349-d353, July 2022, Available at :http://www.ijcrt.org/papers/IJCRT2207442.pdf
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Volume 12 | Issue 7
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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