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Intelligent rice quality assessment using hybrid CNN-clustering approach
D. Suma
,
V. G. Narendra
*
, M. Darshan Holla
,
M. Raviraja Holla
*
*
Corresponding author for this work
School of Computer Engineering
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Computer Science
Convolutional Neural Network
100%
clustering approach
100%
Quality Assessment
100%
Quality Control
100%
K-Means Clustering
66%
Neural Network Architecture
33%
reconstruction algorithm
33%
Experimental Result
33%
Conventional Method
33%
Regularization
33%
Deep Learning Method
33%
INIS
assessments
100%
hybrids
100%
neural networks
100%
rice
100%
accuracy
21%
performance
7%
detection
7%
testing
7%
size
7%
architecture
7%
learning
7%
compliance
7%
images
7%
algorithms
7%
scaling
7%
dimensions
7%
trade
7%
exports
7%
rotation
7%
kernels
7%