[1] 林刚, 严俊. 茶叶外形数量化研究初报[J]. 茶叶科学, 1994, 14(1): 75-78. [2] 蔡健荣. 利用计算机视觉定量描述茶叶色泽[J]. 农业机械学报, 2000, 3(14): 67-70. [3] 朱旗, 施兆鹏, 任春梅. 绿茶香气不同提取方法的研究[J]. 茶叶科学, 2001, 21(1): 38-43. [4] Ritaban Dutta, E L Hines, J W Gardner, et al. Tea quality prediction using a tin oxide-based electronic nose: an artificial intelligence approach[J]. Sensors and Actuators B 94, 2003: 228-237. [5] 陆建良, 梁月荣, 龚淑英, 等. 茶汤色差与茶叶感官品质相关性研究[J]. 茶叶科学, 2002,22(1): 57-61. [6] 梁月荣, 罗德尼·毕. 名茶茶汤光谱特性初探[J]. 茶叶, 1991, 17(2): 44-46. [7] Yuerong Liang,Jianliang Lu, Lingyun Zhang, et al. Estimation of black tea quality by analysis of chemical composition and colour difference of tea infusions[J]. Food Chemistry, 2003, (80): 283-290. [8] Larisa Lvova, Andrey Legin, Yuri Vlasov, et al. Multicomponent analysis of Korean green tea by means of disposable all-solid-state potentiometric electronic tongue microsystem[J]. Sensors and Actuators B 95, 2003: 391-399. [9] 龚琦, 钱惠萍. LRC数字电桥检测茶叶品质的研究[J]. 农业工程学报, 1997, 13(2): 216-219. [10] J. Luypaert, M.H. Zhang, D.L. Massart.Feasibility study for the use of near infrared spectroscopy in the qualitative and quantitative analysis of green tea, Camellia sinensis (L)[J]. Analytica Chimica Acta, 478, 2003: 303-312. [11] Li Rong, Wang Ping, Hu Wenlei, et al. A novel method for wine analysis based on sensor fusion technique[J]. Sensors and Actuators B 66, 2000: 246-250. [12] Corrado Di Natale, Manuela Zude-Sasse, Antonella Macagnano, et al. Outer product analysis of electronic nose and visible spectra: application to the measurement of peach fruit characteristics[J]. Analytica Chimica Acta 459, 2002: 107-117. |