Detection of Citrus HuangLongBing Based on Principal Component Analysis and Back Propagation Neural Network

DENG Xiao-ling; KONG Chen; WU Wei-bin; MEI Hui-lan; LI Zhen; DENG Xiao-ling; HONG Tian-sheng

doi:10.3788/gzxb20144304.0430002

[1] LIN Kong-xiang. Research on citurs HLB［J］. Plant Pathology, 1956, 2(1): 1-42.

[2] WANG Ai-min, DENG Xiao-ling. Development of citrus huanglongbing diagnostic technology research［J］. Guangdong Agriculture Science, 2008, (6): 101-103.

[3] LUO Zhi-da, YE Zi-xing, XU Jian-kai, et al. Field diagnostic methods of citrus HLB［J］. Guangdong Agriculture Science, 2009, (3): 91-93.

[4] HAWKINS S, PARK B, POOLE G, et al. Detection of citrus huanglongbing by fourier transform infrared-attenuated total reflection spectroscopy［J］. Applied Spectrosc, 2010, 64(1): 100-103.

[5] HOCQUELLET A, TOORAWA P, Bové. Detection and identification of the two “Candidatus Liberobacter” species associated with citrus huanglongbing by PCR amplification of ribosomal protein gene of the β operon［J］. Molecular and Cellular Probes, 1999, 13(5): 373-379.

[6] LI W, S.HARTUNG J, LEVY L. Quantitative real-time PCR for detection and identification of candidatus liberibacter species associated with citrus huanglongbing［J］. Journal of Microbiological Methods, 2006, 66(1): 104-115.

[7] ZOU Min, ZHOU Chang-yong. Advances in pathogen research and detection technique of huanglongbing［J］. Plant Protrction, 2005, 31(3): 10-14.

[8] TAKUSHI T, TOYOZATO T, KAWANO S, et al. Scratch method for simple, rapid diagnosis of citrus huanglongbing using iodine to detect high accumulation of starch in the citrus leaves［J］. Japanese Journal of Phytopathology, 2007, 73(1): 3-8.

[9] CEVALLOS-CEVALLOS J M, GARCIA-TORRES R, ETXEBERRIA E, et al. GC-MS analysis of headspace and liquid extracts for metabolomic differentiation of citrus huanglongbing and zinc deficiency in leaves of‘valencia’sweet orange from commercial groves［J］. Phytochem Anal,2011, 22(3): 236-246.

[10] SANKARAN S, EHSANI R, ETXEBERRIA E. Mid-infrared spectroscopy for detection of Huanglongbing(greening)incitrusleaves［J］. Talanta, 2010, 83(2): 574-581.

[11] HAWKINS S A, PARK B, POOLE G H, et al. Detection of citrus huanglongbing by fourier transform infrared–attenuated total reflection spectroscopy［J］. Applied Spectroscopy, 2010, 64(1): 100-103.

[12] MA Ben-xue, YING Yi-bin, RAO Xiu-qin, et al. Advance in nondestructive detection of fruit internal quality based on hyperspectral imaging［J］. Spectrscopy and Spectral Analysis, 2009, 29(6): 1611-1615.

[13] LI Feng-xia， MA Ben-xue， HE Qing-hai， et.al. Non-destructive detection of firmness of hami melon by hyperspectral imaging technique［J］. Acta Photonica Sinica, 2013, 5(5): 592-596.

[14] HONG Tian-Sheng, QIAO Jun, WANG N, et al. Non-destructive inspection of chinese pear quality based on hyperspectral imaging technique［J］. Transactions of the Chinese Society of Agricultural Engineering, 2007, 23(2): 151-155.

[15] LI Jing-bin, CHEN Bing-qi, SHAO Lu-hao, et al. Variety identification of delinted cottonseeds based on BP neural network［J］. Transactions of the Chinese Society of Agricultural Engineering, 2012, 28(2): 265-269.

[16] XIONG K, LI XH, LI Y Z, et al. Research on the analysis and classification of marize cultivars characteristics based on ANN & PCA［J］. Grain & oil food science and technology, 2010, 4(18): 1-5.

[17] SUN D. Hyperspectral imaging for food quality analysis and control［M］. Massachusetts: Academic Press, 2010: 56.

[18] HUANG Wen-qian， CHEN Li-ping， LI Jian-bo， et al. Effective wavelengths determination for detection of slight bruises on apples based on hyperspectral imaging［J］. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(1): 272-277.

[19] CHENG X, CHEN Y.R, TAO Y, et al. A novel integrated PCA and FLD method on hyperspectral image feature extraction for cucumber chilling damage inspection［J］. American Society of Agricultural Engineers, 2004, 47(4): 1313-1320.

[20] LI Peng, ZHOU Jian-min, ZHAO Zhi-min. Fluorescence spectra recognition of hypertriglyceridemia serum using principal component analysis and probabilistic neural network［J］. Acta Photonica Sinica, 2011, 40(11): 1641-1645.

[21] ZHAO Jing, XIA Liang-zheng. Face recognition using neural network based on continuous wavelet transform［J］. Acta Photonica Sinica, 2005, 34(9): 1425-1430.

[23] WANG Xian-ya, CHEN Qian, GU Guo-hua, et al. A nonuniformity correction technique of irfpa based on bp neural network［J］. Acta Photonica Sinica, 2009, 38(6): 1504-1506.

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