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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.

1. A survey of cross-validation procedures for model selection;Arlot;Statist. Surveys,2010

2. Surf: Speeded up Robust Features, Computer vision–ECCV 2006;Bay;Springer,2006

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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