高光谱技术在无损检测火龙果可溶性固形物中的应用 下载: 783次
[1] 邓仁菊,范建新,蔡永强.国内外火龙果研究进展及产业发展现状[J].贵州农业科学,2011,39(6):188-192.
Deng Renju,Fan Jianxin,Cai Yongqiang.Present research status and industrial development of pitaya at home and abroad[J].Guizhou Agricultural Sciences,2011,39(6):188-192.
[2] 代芬,蔡博昆,洪添胜,等.漫透射法无损检测荔枝可溶性固形物[J].农业工程学报,2012,28(15):287-292.
Dai Fen,Cai Bokun,Hong Tiansheng,et al..Non-destructive measurement of soluble solid content in litchi by visible/near- infrared transmission spectroscopy[J].Transactions of the Chinese Society of Agricultural Engineering,2012,28(15):287-292.
[3] 吴迪,宁纪锋,刘旭,等.基于高光谱成像技术和连续投影算法检测葡萄果皮花色苷含量[J].食品科学,2014,35(8):57-61.
Wu Di,Ning Jifeng,Liu Xu,et al..Determination of anthocyanin content in grape skins using hyperspectral imaging technique and successive projections algorithm[J].Food Science,2014,35(8):57-61.
[4] 黄双萍,洪添胜,岳学军,等.基于高光谱的柑橘叶片氮素含量多元回归分析[J].农业工程学报,2013,29(5):132-138.
Huang Shuangping,Hong Tiansheng,Yue Xuejun,et al..Multiple regression analysis of citrus leaf nitrogen content using hyperspectral technology[J].Transactions of the Chinese Society of Agricultural Engineering,2013,29(5):132-138.
[5] P Rajkumar,N Wang,G EImasry.Studies on banana fruit quality and maturity stages using hyperspectral imaging[J].Journal of Food Engineering,2012,108(1):194-200.
[6] A Baiano,C Terracone,G Peri,et al..Application of hyperspectral imaging for prediction of physico- chemical and sensory characteristics of table grapes[J].Computers and Electronics in Agriculture,2012,87:142-151.
[7] 洪添胜,乔军,Ning Wang,等.基于高光谱图像技术的雪花梨品质无损检测[J].农业工程学报,2007,23(2):151-155.
Hong Tiansheng,Qiao Jun,Ning Wang,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.
[8] 李锋霞,马本学,何青海,等.哈密瓜坚实度的高光谱无损检测技术[J].光子学报,2013,42(5):592-595.
[9] 黄文倩,李江波,陈立平,等.以高光谱数据有效预测苹果可溶性固形物含量[J].光谱学与光谱分析,2013,33(10):2843-2846.
[10] 吴龙国,何建国,贺晓光,等.高光谱图像技术在水果无损检测中的研究进展[J].激光与红外,2013,43(9):990-996 .
Wu Longguo,He Jianguo,He Xiaoguang,et al..Research progress of hyperspectral imaging technology in non-destructive detection of fruit[J].Laser&Infrared,2013,43(9):990-996.
[11] 洪添胜,李震,吴春胤,等.高光谱图像技术在水果品质无损检测中的应用[J].农业工程学报,2007,23(11):280-285.
Hong Tiansheng,Li Zhen,Wu Chunyin,et al..Review of hyperspectral image technology for non-destructive inspection of fruit quality[J].Transactions of the Chinese Society Agricultural Engineeing,2007,23(11):280-285.
[12] 马本学,应义斌,饶秀勤,等.高光谱成像在水果内部品质无损检测中的研究进展[J].光谱学与光谱分析,2009,29(6):1161-1165.
Ma Benxue,Ying Yibin,Rao Xiuqin,et al..Advance in nondestructive detection of fruit internal quality based on hyperspectral imaging[J].Spectroscopy and Spectral Analysis,2009,29(6):1161-1165.
[13] 代芬,洪添胜,罗霞,等.基于可见-近红外光谱的砂糖橘总酸无损检测[J].华中农业大学学报,2012,31(4):518-523.
Dai Fen,Hong Tiansheng,Luo Xia,et al..Nondestructive test of total acidity in‘Shatangju’(Citrus reticulata Blanco) with near-infrared spectroscopy[J].Journal of Huazhong Agricultural University,2012,31(4):518-523.
[14] 李东华,纪淑娟,重滕和明.南果梨糖、酸度近红外光谱模型适用的贮藏期研究[J].农业工程学报,2009,25(4):270-275.
Li Donghua,Ji Shujuan,Shigefuji Kazuaki.Applicability of visible- near infrared spectroscopy models for determining soluble solid and total acid contents in‘Nanguo’pears during storage period[J].Transactions of the Chinese Society of Agricultural Engineering,2009,25(4):270-275.
[15] 单佳佳,彭彦昆,王伟,等.基于高光谱成像技术的苹果内外品质同时检测[J].农业机械学报,2011,42(3):140-144.
Shan Jiajia,Peng Yankun,Wang Wei,et al..Simultaneous detection of external and internal quality parameters of apples using hyperspectral technology[J].Transactions of the Chinese Society for Agricultural Machinery,2011,42(3):140-144.
[16] 郭俊先,饶秀勤,程国首,等.基于高光谱成像技术的新疆冰糖心红富士苹果分级和糖度预测研究[J].新疆农业大学学报,2012,35(1):78-86.
Guo Junxian,Rao Xiuqin,Cheng Guoshou,et al..Prediction of the sugar degree and grading of Xinjiang fuji apple by hyperspectral imaging techniques[J].Journal of Xinjiang Agricultural University,2012,35(1):78-86.
[17] S Wang,M Huang,Q Zhu.Model fusion for prediction of apple firmness using hyperspectral scattering image[J].Computers and Electronics in Agriculture,2012,80:1-7.
[18] 刘燕德,陈兴苗,欧阳爱国.可见/近红外光谱法无损检测赣南脐橙可溶性固形物[J].光学学报,2008,28(3):478-481.
[19] 赵聪慧,张淑娟,张海红,等.鲜枣可溶性固形物最小二乘支持向量机动态检测研究[J].中国食品学报,2012,12(3):210-213.
Zhao Conghui,Zhang Shujuan,Zhang Haihong,et al..Dynamic detection for soluble solids content of fresh jujube based on least square support vector machines[J].Journal of Chinese Institute of Food Science and Technology,2012,12(3):210-213.
[20] 薛龙,黎静,刘木华,等.基于遗传算法的脐橙可溶性固形物的可见/近红外光谱无损检测[J].激光与光电子学进展,2010,47(12):123001.
[21] 陈全胜,张燕华,万新民,等.基于高光谱成像技术的猪肉嫩度检测研究[J].光学学报,2010,30(9):2602-2607.
[22] 邓小玲,孔晨,吴伟斌,等.基于主成分分析和BP 神经网络的柑橘黄龙病诊断技术[J].光子学报,2014,43(4):0430002.
[23] 孙梅,付妍,徐冉冉,等.基于高光谱成像技术的水果品质无损检测[J].食品科学技术学报,2013,3(2):67-71.
Sun Mei,Fu Yan,Xu Ranran,et al..Nondestructive inspect of fruit quality with hyperspectral imaging technology[J].Journal of Food Science and Technology,2013,3(2):67-71.
[24] 梅慧兰,邓小玲,洪添胜,等.柑橘黄龙病高光谱早期鉴别及病情分级[J].农业工程学报,2014,30(9):140-147.
Mei Huilan,Deng Xiaoling,Hong Tiansheng,et al..Early detection and grading of citrus Huanglongbing using hyperspectral imaging technique[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(9):140-147.
[25] 刘飞,张帆,方慧,等.连续投影算法在油菜叶片氨基酸总量无损检测中的应用[J].光谱学与光谱分析,2009,29(11):3079-3083.
[26] 洪涯,洪添胜,代芬,等.连续投影算法在砂糖橘总酸无损检测中的应用[J].农业工程学报,2010,26(14):380-384.
Hong Ya,Hong Tiansheng,Dai Fen,et al..Successive projections algorithm for variable selection in nondestructive measurement of citrus total acidity[J].Transactions of the Chinese Society of Agricultural Engineering,2010,26(14):380-384.
[27] 介邓飞,谢丽娟,饶秀勤,等.近红外光谱变量筛选提高西瓜糖度预测模型精度[J].农业工程学报,2013,29(12):264-270.
Jie Dengfei,Xie Lijuan,Rao Xiuqin,et al..Improving accuracy of prediction model for soluble solids content of watermelon by variable selection based on near- infrared spectroscopy[J].Transactions of the Chinese Society of Agricultural Engineering,2013,29(12):264-270.
[28] 褚小立,袁洪福,陆婉珍.近红外分析中光谱预处理及波长选择方法进展与应用[J].化学进展,2004,16(4):528-542.
Chu Xiaoli,Yuan Hongfu,Lu Wanzhen.Progress and application of spectral data pretreatment and wavelength selection methods in NIR analytical technique[J].Progress in Chemistry,2004,16(4):528-542.
[29] M C U Araújo,T C B Saldanha,R K H Galv o,et al..The successive projections algorithm for variable selection in spectroscopic multicomponent analysis[J].Chemometrics and Intelligent Laboratory Systems,2001,57(2):65-73.
[30] 陈斌,孟祥龙,王豪.连续投影算法在近红外光谱校正模型优化中的应用[J].分析测试学报,2007,26(1):66-69.
Chen Bin,Meng Xianglong,Wang Hao.Application of successive projections algorithm in optimizing near infrared spectroscopic calibration model[J].Journal of Instrumental Analysis,2007,26(1):66-69.
[31] R K H Galváo,M C U Araujo,G E José,et al..A method for calibration and validation subset partitioning[J].Talanta,2005,67(4):736-740.
[32] 肖海斌,赵进辉,刘木华,等.三维荧光光谱技术结合PLSR 在鸭肉中西维因残留检测的应用[J].激光与光电子学进展,2014,51(4):043001.
[33] 代芬,洪添胜,尹令,等.基于人工神经网络的苹果可溶性固形物无损检测[J].农机化研究,2011,10:134-137.
Dai Fen,Hong Tiansheng,Yin Ling,et al..Nondestructive examination of apple soluble solids content based on artificial neural network[J].Journal of Agricultural Mechanization Research,2011,10:134-137.
[34] 赵杰文,惠喆,黄林,等.高光谱成像技术检测鸡肉中挥发性盐基氮含量[J].激光与光电子学进展,2013,50(7):073003.
[35] 李东华.南果梨内在品质近红外光谱无损检测技术研究[D].沈阳:沈阳农业大学,2009:41-46.
Li Donghua.Study on Nondestructive Detecting Internal Quality in‘Nanguo’Pears by NIRS Technology[D].Shenyang:Shenyang Agricultural University,2009:41-46.
罗霞, 洪添胜, 罗阔, 代芬, 梅慧兰. 高光谱技术在无损检测火龙果可溶性固形物中的应用[J]. 激光与光电子学进展, 2015, 52(8): 083002. Luo Xia, Hong Tiansheng, Luo Kuo, Dai Fen, Mei Huilan. Application of Hyperspectrum Technology in Non-Destructive Measurement of Soluble Solid Content in Pitaya[J]. Laser & Optoelectronics Progress, 2015, 52(8): 083002.