Design of Multi-Class Optimized Lightweight Convolution Neural Network for Rice Classification
Author:
Affiliation:
1. Vellore Institute of Technology,Department of Micro and Nanoelectronics,Vellore,Tamil Nadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10571853/10571854/10571889.pdf?arnumber=10571889
Reference14 articles.
1. Cr-Prom: A Convolutional Neural Network-Based Model for the Prediction of Rice Promoters
2. A concise review on food quality assessment using digital image processing
3. Deep CNN-based damage classification of milled rice grains using a high-magnification image dataset
4. Classification of rice grains using image processing and machine learning techniques;Ozan
5. Visible imaging to convolutionally discern and authenticate varieties of rice and their derived flours
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