Identifying rice grains using image analysis and sparse-representation-based classification-Reference-Cited by-同舟云学术

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Identifying rice grains using image analysis and sparse-representation-based classification

Published:2016-09 Issue: Volume:127 Page:716-725
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Kuo Tzu-Yi,Chung Chia-Lin,Chen Szu-Yu,Lin Heng-An,Kuo Yan-Fu

Funder

Ministry of Science and Technology of Taiwan

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference33 articles.

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3. Genetic diversity, identification, and certification of Chilean rice varieties using molecular markers;Becerra;Chilean J. Agric. Res.,2015

4. Digital image analysis of diverse Mexican rice cultivars;Camelo-Méndez;J. Sci. Food Agric.,2012

5. LIBSVM: a library for support vector machines;Chang;ACM Trans. Intell. Syst. Technol.,2011

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