Afzalinia, S., Shaker, M. and Zare, E. 2004. Comparison of different rice milling methods. Canadian Biosys. Eng. 46(3): 63-66.

Alizadeh, M. R. and Payman, M. H. 2004. Comparison of rice losses in two common methods of paddy to rice milling in Gilan province. J. Agric. Sci. Technol. 18(1). (in Persian)

Anon. 1981. Development and evaluation of processing equipment. Tech. Bulletin No. CIAE/PHTS/81/24. CIAE, Nabi Bagh, Berasia Road, Bhopal.

Firouzi, S., Alizadeh, M. R. and Minaei, S. 2010. Effect of rollers differential speed and paddy moisture content on performance of rubber roll husker. World Academ. Sci. Eng. Technol. 47, 687-690.

Goodman, D. E. and Rao, R. M. 1985. Effect of grain type and milled rice kernel hardness on the head rice yield. J. Food Sci. 50, 840-842.

Payman, M. H., Tavakoli, T. and Minaei. S. 1999. Determination of proper space between the rollers in rubber roller husker for milling of three traditional rice varieties in Gilan. J. Agric. Sci. 5(20): 37-48. (in Persian)

Saburi Helestani, S. and Rufigari Haghighat, S. H. 2013. Effect of husker machine type and paddy husking percentage on production rice quality. Proceedings of the 21^st National Congress of Food Science and Technology. Shiraz University. Shiraz. Iran. (in Persian)

Sakai, N., Yonekawa, S. and Matsuzaki, A. 1996. Two-dimensional image analysis of the shape of rice and its application to separating varieties. J. Food Eng. 27, 397-407.

Shaker, M. and Alizadeh, M. R. 2003. Effect of paddy moisture content on rice breakage and milling yield. Proceedings of the 1^st National Symposium on Losses of Agricultural Products. Tarbiat Modares University. Tehran. Iran. (in Persian)

Sun, C., Liu, T., Ji, C., Jiang, M., Tian, T., Guo, D., Wang, L., Chen, Y. and Liang, X. 2014. Evaluation and analysis the chalkiness of connected rice kernels based on image processing technology and support vector machine. J. Cereal Sci. 60(2): 426-432.

Wan, Y. N., Lin, C. M. and Chiou, J. F. 2002. Rice quality classification using an automatic grain quality inspection system. Trans. ASAE. 45(2): 379-387.

Yadav, B. K. and Jindal, V. 2001. Monitoring milling quality of rice by image analysis. Comput. Electron. Agric. 33, 19-33.

Yao, Q., Xian, D. X., Liu, Q. J., Yang, B. J., Diao, G. Q. and Tang, J. 2014. Automated counting of rice planthoppers in paddy fields based on image processing. J. Integr. Agric. 13(8): 1736-1745.

Zarei Forush, H., Minaei, S., Alizadeh, M. R., Banakar, A., Hoseinzadeh Samani, B. and Montazeri, M. 2015. Performance monitoring of rice milling machine with the development of an automatic control system based on machine vision and fuzzy logic. Proceedings of the 9^th National Conference on Agricultural Machinery Engineering (Biosystems) and Mechanization of Iran. Tehran University. Tehran. Iran. (in Persian)