Champagne, E. T. (2008). Rice aroma and flavor: a literature review. Cereal Chemistry, 85(4), 445-454.
Choudhury, P. R., Kohli, S., Srinivasan, K., Mohapatra, T., & Sharma, R. P. (2001). Identification and classification of aromatic rices based on DNA fingerprinting. Euphytica, 118(3), 243-251.
Doleman, B. J., & Lewis, N. S. (2001). Comparison of odor detection thresholds and odor discriminability of a conducting polymer composite electronic nose versus mammalian olfaction. Sensors and Actuators B: Chemical, 72(1), 41-50.
Dorosh, P. A., & Wailes, E. J. (2010). The international rice trade: structure, conduct, and performance. S. Pandey, D, Byerlee, D, Dawe, A. Dobermann, S. Mohanty, S. Rozelle & B. Hardy, eds. Rice in the global economy: strategic research and policy issues for food security, 359-378.
Fenaille, F., Visani, P., Fumeaux, R., Milo, C., & Guy, P. A. (2003). Comparison of mass spectrometry-based electronic nose and solid phase micro extraction gas chromatography mass spectrometry technique to assess infant formula oxidation. Journal of agricultural and food chemistry, 51(9), 2790-2796.
Ghasemi-Varnamkhasti. M .2011. Design, development and implementation of a metallic oxidation semi-metallic oxide (MOS) bioelectronics machine, in order to reveal a change in the quality of light, in combination with patterns of pattern recognition analysis. Ph.D. Thesis. Department of Agricultural Machinery Engineering, Collage Agricultural and Natural Resources. University of Tehran, 187 pages.
Ghasemi-Varnamkhasti, M., Mohtasebi, S. S., Siadat, M., Razavi, S. H., Ahmadi, H., & Dicko, A. (2012). Discriminatory power assessment of the sensor array of an electronic nose system for the detection of non-alcoholic beer aging. Czech J. Food Science, 30(3), 236-240.
Haugen, J. E., & Kvaal, K. (1998). Electronic nose and artificial neural network. Meat Science, 49, S273-S286.
Hu, G., Wang, J., Wang, J. J., & Wang, X. L. (2011). Detection for rice odors and identification of varieties based on electronic nose technique. J. Zhejiang Univ.(Agric. Life Sci.), 6, 13.
Korel, F., & Balaban, M. Ö. (2008). Electronic nose technology in food analysis. Handbook of Food Analysis Instruments. doi, 10, 9781420045673.
Lau, K. T., McAlernon, P., & Slater, J. M. (2000). Discrimination of chemically similar organic vapours and vapour mixtures using the Kohonen networkPresented at SAC 99, Dublin, Ireland, July 25–30, 1999. Analyst, 125(1), 65-70.
Mannino, S., Benedetti, S., Buratti, S., & Cosio, M. (2006). The application of intelligent sensor array for air pollution control in the food industry. Odors in the Food Industry, 47-56.
Monsoor, M. A., & Proctor, A. (2004). Volatile component analysis of commercially milled head and broken rice. Journal of food science, 69(8).
Pearce, T. C., Schiffman, S. S., Nagle, H. T., & Gardner, J. W. (Eds.). (2006). Handbook of machine olfaction: electronic nose technology. John Wiley & Sons.
Pearce, T.C., Schiffman, S.S., Nagle, H.T. and Gardner, J.W. (2003), Handbook of machine olfaction: electronic nose technology. Wiley-VCH, Weinheim.
Perriere, G., & Thioulouse, J. (2003). Use of correspondence discriminant analysis to predict the subcellular location of bacterial proteins. Computer Methods and Programs in Biomedicine, 70(2), 99-105.
Strike, D. J., Meijerink, M. G. H., & Koudelka-Hep, M. (1999). Electronic noses–A mini-review. Fresenius' journal of analytical chemistry, 364(6), 499-505.
Timsorn, K., Lorjaroenphon, Y., & Wongchoosuk, C. (2017). Identification of adulteration in uncooked Jasmine rice by a portable low-cost artificial olfactory system. Measurement, 108, 67-76.
Tohidi, m. Ghasemi Varnamkhasti, M. Ghaffarinia.V., Mohtasebi, S.,S. Bonyadian , M. The development and development of an olfactory machine system in combination with pattern recognition methods for detecting formalin cheating on raw milk. Biotechnology Engineering of Iran, Volume 47, Issue 4, Winter 2016 (p. 770-761)
Wailes, E. J. (2005). Rice: Global trade, protectionist policies, and the impact of trade liberalization. M. Ataman Aksoy and John C. Beghin, 2(576), 177..
Yu, H., Wang, J., & Xu, Y. (2007). Identification of adulterated milk using electronic nose. Sensors and Materials, 19(5), 275-285.
Zheng, X. Z., Lan, Y. B., Zhu, J. M., Westbrook, J., Hoffmann, W. C., & Lacey, R. E. (2009). Rapid identification of rice samples using an electronic nose. Journal of Bionic Engineering, 6(3), 290-297.