Open Access
A comparative study of rice variety classification based on deep learning and hand-crafted features
Publication type: Journal Article
Publication date: 2020-03-23
scimago Q4
SJR: 0.191
CiteScore: 1.6
Impact factor: —
ISSN: 22869131
Electrical and Electronic Engineering
Information Systems
Computer Networks and Communications
Information Systems and Management
Abstract
Rice is vital to people all around the world. The demand for an efficient method in rice seed variety classification is one of the most essential tasks for quality inspection. Currently, this task is done by technicians based on experience by investigating the similarity of colour, shape and texture of rice. Therefore, we propose to find an appropriate process to develop an automation system for rice recognition. In this paper, several hand-crafted descriptors and Convolutional Neural Networks (CNN) methods are evaluated and compared. The experiment is simulated on the VNRICE dataset on which our method shows a significant result. The highest accuracy obtained is 99.04% by using DenNet21 framework.
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Metrics
22
Total citations:
22
Citations from 2024:
9
(40.91%)
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MLA
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GOST
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Truong Hoang V. et al. A comparative study of rice variety classification based on deep learning and hand-crafted features // ECTI Transactions on Computer and Information Technology. 2020. Vol. 14. No. 1. pp. 1-10.
GOST all authors (up to 50)
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Truong Hoang V., Van Hoai D. P., Surinwarangkoon T., Duong H., Meethongjan K. A comparative study of rice variety classification based on deep learning and hand-crafted features // ECTI Transactions on Computer and Information Technology. 2020. Vol. 14. No. 1. pp. 1-10.
Cite this
RIS
Copy
TY - JOUR
DO - 10.37936/ecti-cit.2020141.204170
UR - http://ph01.tci-thaijo.org/index.php/ecticit/article/view/204170
TI - A comparative study of rice variety classification based on deep learning and hand-crafted features
T2 - ECTI Transactions on Computer and Information Technology
AU - Truong Hoang, Vinh
AU - Van Hoai, Duc Phan
AU - Surinwarangkoon, Thongchai
AU - Duong, Huu-Thanh
AU - Meethongjan, Kittikhun
PY - 2020
DA - 2020/03/23
PB - ECTI
SP - 1-10
IS - 1
VL - 14
SN - 2286-9131
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2020_Truong Hoang,
author = {Vinh Truong Hoang and Duc Phan Van Hoai and Thongchai Surinwarangkoon and Huu-Thanh Duong and Kittikhun Meethongjan},
title = {A comparative study of rice variety classification based on deep learning and hand-crafted features},
journal = {ECTI Transactions on Computer and Information Technology},
year = {2020},
volume = {14},
publisher = {ECTI},
month = {mar},
url = {http://ph01.tci-thaijo.org/index.php/ecticit/article/view/204170},
number = {1},
pages = {1--10},
doi = {10.37936/ecti-cit.2020141.204170}
}
Cite this
MLA
Copy
Truong Hoang, Vinh, et al. “A comparative study of rice variety classification based on deep learning and hand-crafted features.” ECTI Transactions on Computer and Information Technology, vol. 14, no. 1, Mar. 2020, pp. 1-10. http://ph01.tci-thaijo.org/index.php/ecticit/article/view/204170.
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