| 光谱学与光谱分析 |
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| Detection of Activity of POD in Tomato Leaves Based on Hyperspectral Imaging Technology |
| FANG Hui, ZOU Qiang, HE Yong, LI Xiao-li* |
| College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China |
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Abstract Activities of POD in tomato leaves were measured rapidly using hyperspectral imaging technology combined with chemometrics method. Operation process was: extracting spectra curve, pretreatment of spectra data, extracting characteristic wavelengths with SPA, and establishing prediction model for determining POD activities. In comparison with other methods such as SG, SNV, MSC, 1-Der and 2-Der, DOSC was the optimal pretreatment. It was shown in this research that SPA-PLS model was the optimal effective model among all models (SPA-MLR, SPA-PLS, SPA-BPNN and SPA-LS-SVM) for forecasting POD activities. The model was based on reflectance information of effective wavelengths (443, 464, 413, 410, 401, 402, 426 and 926 nm) extracted by SPA. Rp and RMSEP were 0.935 3 and 37.80 U·g-1, respectively. The result indicated that it was feasible to determine the POD activities with hyperspectral imaging technology, and the prediction accuracy of model was satisfactory. It was a new method for dynamic observation of POD activities and growth state of tomato.
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Received: 2012-02-15
Accepted: 2012-05-12
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Corresponding Authors:
LI Xiao-li
E-mail: xiaolili@zju.edu.cn
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[1] DU Yong-chen(杜永臣). China Vegetables(中国蔬菜), 2001, (5): 55.
[2] WANG Lei, QIAO Xiao-yan, DONG You-er, et al(王 雷, 乔晓艳, 董有尔, 等). Journal of Applied Optics(应用光学), 2009, 30(4): 639.
[3] HONG Tian-sheng, LI Zhen, WU Chun-yin, et al(洪添胜, 李 震, 吴春胤, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2007, 23(11): 280.
[4] TIAN You-wen, WANG Xiao-juan(田有文, 王晓娟). Journal of Agricultural Mechanization Research(农机化研究), 2009, (10): 220.
[5] CHEN Quan-sheng，ZHAO Jie-wen，CAI Jian-rong, et al(陈全胜, 赵杰文, 蔡健荣, 等). Acta Optica Sinica(光学学报), 2008, 28(4): 669.
[6] Ely D R，Carvajal M T. International Journal of Pharmaceutics, 2011, 414(1-2): 157.
[7] Holzer M S, Best S L, Jackson N, et al. Journal of Urology, 2011, 186(2): 400.
[8] Vasefi F, Najiminaini M, Ng E, et al. Journal of Biomedical Optics, 2011, 16(8): 086014.
[9] Tiwari K C, Arora M K，Singh D. International Journal of Applied Earth Observation and Geoinformation, 2011, 13(5): 730.
[10] JIANG Shu-jun, CHANG Ying, FAN Wen-yan, et al(姜述君, 常 缨, 范文艳, 等). Chinese Agriculture Science Bulletin(中国农学通报), 2007, 23(10): 444.
[11] Wold H. International Journal of Cardiology, 1985, 147(2): 581.
[12] WU Rui-mei, ZHAO Jie-wen, CHEN Quan-sheng, et al(吴瑞梅, 赵杰文, 陈全胜, 等). Transactions of the Chinese Society of Agricultural Engineering(农业工程学报), 2011, 27(11): 378.
[13] JI Xun-sheng(吉训生). Power System Protection and Control(电力系统保护与控制), 2010, 38(23): 55.
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