1. 毕业设计（论文）的内容、要求、设计方案、规划等
设计制作紫外光源照明系统。
能够满足拍摄紫外荧光照片所需的照明要求。
根据实验估测所需紫外灯管的型号和功率，配上电源。
2. 参考文献（不低于12篇）
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Prediction of drip-loss, pH, and color for pork using a hyperspectral imaging technique. Meat Science, 76 (1), 1-8.JohnsonE.Dallase. (2005). Independence of Experimental Units. 出处 JohnsonE.Dallase, Applied Multivariate Methods for Data Analysts 应用多元统计分析方法（影印版） (页 11). 北京: 高等教育出版社.Juan XingSaeys, Josse De BaerdemaekerWouter. (2007). Combination of chemometric tools and image processing for bruise detection on apples. Computers and Electronics in Agriculture, 56 (1), 1-13.Jun QiaoO. Ngadi, Ning Wang, Claude Garipy, Shiv.O. PrasherMichael. (2007). Pork quality and marbling level assessment using a hyperspectral imaging system. Journal of Food Engineering, 83 (1), 10-16.K. C. LawrencePark, G. W. Heitschmidt W. R. Windham, C. N. ThaiB. (2007). Evaluation of LED and Tungsten-Halogen Lighting for Fecal Contaminant Detection. Applied Engineering in Agriculture, 23 (6), 811-818.L. LleBarreiro, M. Ruiz-Altisent, A. HerreroP. (2009). Multispectral images of peach related to firmness and maturity at harvest. Journal of Food Engineering, 93 (2), 229-235.LawrencePark, B., Windham, W.R., Mao, C.K.C.,. (2003). Calibration of a pushbroom hyperspectral imaging system foragricultural inspection. Transactions of the ASAE, 46 (2), 513521.LawrenceWindham, W.R., Park, B., Heitschmidt, G.W.,Smith, D.P., Feldner, P.K.C.,. (2006). Partial least squares regression of hyperspectral images for contaminant detection on poultry carcasses. Journal of Near Infrared Spectroscopy, 14, 223230.LuRenfu. (2004). Multispectral imaging for predicting firmness and soluble solids content of apple fruit. Postharvest Biology and Technology, 31 (2), 147-157.M. S. KimM. Lefcourt, K. Chao, Y. R. Chen, I. Kim, D. E. ChanA. (2002). Multispectral Detection of Fecal Contamination on Apples Based on Hyperspectral Imagery: Part I. Application of Visible and Near/Infrared Reflectance Imaging. Transactions of the ASAE, 45 (6), 2027-2037.M. S. KimM. Lefcourt, Y. R. Chen, I. Kim, D. E. Chan, K. ChaoA. (2002). Multispectral Detection of Fecal Contamination on Apples Based on Hyperspectral Imagery: Part II. Application of Hyperspectral Fluorescence Imaging. Transactions of the ASAE, 45 (6), 2039-2047.S. C. YoonC. Lawrence, B. Park, W. R. WindhamK. (2007). Optimization of Fecal Detection Using Hyperspectral Imaging and Kernel Density Estimation. Transactions of the ASABE, 50 (3), 1063-1071.S. C. YoonC. Lawrence, B. Park, W. R. WindhamK. (2007). Statistical Model-Based Thresholding of Multispectral Images for Contaminant Detection on Poultry Carcasses. Transactions of the ASABE, 50 (4), 1433-1442.Songyot NakariyakulP. CasasentDavid. (October 2009). Fast feature selection algorithm for poultry skin tumor detection in hyperspectral data. Journal of Food Engineering, 94 (3-4), 358-365.Y. PengLuR. (2006). An LCTF-Based Multispectral Imaging System for Estimation of Apple fruit Firmness: Part I. Acquisition and Characterization of Scattering Images. Transactions of the ASABE, 49 (1), 269-275.Y. PengLuR. (2006). An LCTF-Based Multispectral Imaging System for Estimation of Apple Fruit Firmness: Part II. Selection of Optimal Wavelengths and Development of Prediction Models. Transactions of the ASABE, 49 (1), 269-275.田海清陆辉山, 徐惠荣, 谢丽娟应义斌,. (2009). 基于可见/近红外光谱的乙烯利催熟西瓜与正常成熟西瓜分类试验研究. 光谱学与光谱分析(04), 940-944.
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