An Image-based Eri Silkworm Pupa Grading Method Using Shape, Color, and Size
Author(s) -
Kiattisin Kanjanawanishkul,
X Wu,
K He,
T Velickovic,
Z Liu,
X Li,
H Xie,
Y Chen,
M Lang,
Y Chen,
L Shi,
S Chukiatsiri,
W Hangtrakul,
C Srikaew,
S Songsermpong,
K Kanjanawanishkul,
P On,
P Thammakit,
J Chinnakotr,
M Saberioon,
A Gholizadeh,
P Cisar,
A Pautsina,
J Urban,
H Tian,
T Wang,
Y Liu,
X Qiao,
Y,
Li,
M Meenu,
C Kurade,
B Neelapu,
S Kalra,
H Ramaswamy,
Y Yua,
Z Zhu,
H Yuan,
C Song,
X Li,
D Fang,
Z Guo,
X Zhu,
W Liu,
G Yan,
D Tao,
G Qui,
G Li,
L Liu,
K Wang,
Y Ma,
Y Xu,
H Yan,
G Zhang,
A Raj,
R Sundaram,
V Mahesh,
Z Zhuang,
A Simeone,
G Bej,
A Akuli,
A Pal,
T Dey,
N Bhattacharyya,
P Prasobhkumar,
C Francis,
S Gorthi,
M Liu,
R Xu,
X Yan,
F Li,
Y Yan,
Z Song,
H Song,
C Mishra,
D Gupta,
C Barber,
D Dobkin,
H Huhdanpaa,
G Angelo,
S Rampone,
M Bhatt,
T Patalia
Publication year - 2022
Publication title -
international journal of intelligent engineering and systems
Language(s) - English
Resource type - Journals
eISSN - 2185-310X
pISSN - 1882-708X
DOI - 10.22266/ijies2022.0430.50
Subject(s) - computer science , grading (engineering) , pupa , artificial intelligence , computer vision , pattern recognition (psychology) , biology , botany , ecology , larva
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