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Classification in Cashew Grading System: A Systematic Review

by Sowmya Nag K., Veenadevi S.V.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 25
Year of Publication: 2023
Authors: Sowmya Nag K., Veenadevi S.V.
10.5120/ijca2023923004

Sowmya Nag K., Veenadevi S.V. . Classification in Cashew Grading System: A Systematic Review. International Journal of Computer Applications. 185, 25 ( Jul 2023), 7-10. DOI=10.5120/ijca2023923004

@article{ 10.5120/ijca2023923004,
author = { Sowmya Nag K., Veenadevi S.V. },
title = { Classification in Cashew Grading System: A Systematic Review },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2023 },
volume = { 185 },
number = { 25 },
month = { Jul },
year = { 2023 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number25/32846-2023923004/ },
doi = { 10.5120/ijca2023923004 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:01.447137+05:30
%A Sowmya Nag K.
%A Veenadevi S.V.
%T Classification in Cashew Grading System: A Systematic Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 25
%P 7-10
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Quality is the most important aspect in cashew nuts, based on which the price is fixed. This makes classification an even more important process. The purpose of this study is to conduct a systematic literature review to identify existing knowledge in the cashew grading system. The search method discusses the papers based on feature extraction techniques, outcomes, and limitations. Also highlight the research gap or focus on the classification and recognition of defective cashews and computation time.

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Index Terms

Computer Science
Information Sciences

Keywords

Cashew Grading Image Processing Feature extraction Machine learning Deep learning

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