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Myanmar Rice Gain classification using Image Processing Technique
http://hdl.handle.net/20.500.12678/0000007440
http://hdl.handle.net/20.500.12678/0000007440806a2293-02dd-454c-b5c2-1f91dfaab145
a231c215-6da2-453f-b447-53e96ac39c5a
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Myanmar Rice Gain classification using Image Processing Technique | |||||
Language | en | |||||
Publication date | 2018-05-14 | |||||
Authors | ||||||
Mie Mie Tin | ||||||
Khin Lay Mon, | ||||||
Ei Phyu Win | ||||||
Su Su Hlaing | ||||||
Description | ||||||
This paper studies different characteristics of Myanmar rice grains and their varieties. The classification of various varieties of rice grains is made by using image processing techniques and algorithms | ||||||
Keywords | ||||||
image processing | ||||||
Identifier | http://www.cc.miyazaki-u.ac.jp/icbdm/ | |||||
Conference papers | ||||||
ICBDL 2018 | ||||||
2018-05-14 | ||||||
2018 First International Conference on Big Data Analysis and Deep Learning Application (ICBDL 2018) | ||||||
Miyazake, japan | ||||||
http://www.cc.miyazaki-u.ac.jp/icbdm/ |