1. Chen X, Ke S, Wang L, Xu H, Chen W (2012) Classification of rice appearance quality based on LS-SVM using machine vision. In: Information computing and applications. Springer, pp 104–109
2. Cristianini N, Shawe-Taylor J (2000) An introduction to support vector machines and other kernel-based learning methods. Cambridge University Presss
3. El-Telbany ME, Warda M, El-Borahy M (2006) Mining the classification rules for Egyptian rice diseases. Int Arab J Inf Technol 3:303–307
4. Emadzadeh B, Razavi SMA, Farahmandfar R (2010) Monitoring geometric characteristics of rice during processing by image analysis system and micrometer measurement. Int Agrophys 24:21–27
5. Fayyazi S, Abbaspour-Fard MH, Rohani A, Sadrnia H, Monadjemi SA (2013) Identification of three Iranian rice seed varieties in mixed bulks using textural features and Learning Vector Quantization neural network. Paper presented at the 1st International e-Conference on novel Food Processing, Mashhad, Iran, 26–27 Feb