[1] |
CAMPS C, DELTHEIL L, GILLI C. Qualitative and quantitative models based on handheld NIR spectroscopy to monitor the tomato fruit development during darly and full season[DB/OL].(2014-11-27)[2018-04-08].https://www.researchgate.net/publication/269016068. |
[2] |
CAMPS C, SIMONE C, GILLI C. Assessment of tomato quality using portable NIR spectroscopy and PLSR with wavelengths selection[DB/OL].(2014-12-01)[ 2018-04-08].https://www.researchgate.net/publication/290241088. |
[3] |
ZHANG B F, YUAN L B, ZHANG B X. Study on predicting total acid content and soluble sugar of tomato juice by near infrared optical fiber spectrometer technique[J]. Spectroscopy and Spectral Analysis, 2014, 34(2): 350-353(in Chinese). |
[4] |
SUN T, XU H R, YING Y B. Progress in application of near infrared spectroscopy to nondestructive on-line detection of products/ food quality[J]. Spectroscopy and Spectral Analysis, 2009, 29(1): 122-126(in Chinese). |
[5] |
LIU Y D, WU M M, SUN X D, et al. Simultaneous detection of surface deficiency and soluble solids content for amygdalus persica by online visible-near infrared transmittance spectroscopy[J]. Transactions of the Chinese Society of Agricultural Engineering, 2016, 32(6): 289-295(in Chinese). |
[6] |
PAN Y Y, LIU Y D, SUN X D. Research progress o f on-line detection of fruit quality using near infrared spectroscopy[J]. Laser & Infrared, 2010, 40(8): 805-810(in Chinese). |
[7] |
CHU X L, LIU H Y, YAN Z Ch. Near-infrared spectroscopy techno-logy practical manual[M].Beijing: Machinery Industry Press, 2016: 114-133(in Chinese). |
[8] |
RAO X Q, YING Y B. Grading a fruit by it's surface color[J]. Journal of Zhejiang University (Engineering Science Edition), 2009, 43(5): 869-871(in Chinese). |
[9] |
LIU Y D, CHEN X M, OUYANG A G. Non-destructive measurement of surface color of pear by visible/near-infrared diffuse reflectance spectra[J].Journal of Infrared and Millimeter Waves, 2008, 27(4): 266-268(in Chinese). |
[10] |
ZHANG Y P, LI Ch, ZHAO M, et al. Analysis of color difference of cigarette packaging material based spectroscopy on near-infrared[J]. Tobacco Science & Technology, 2016, 49(2): 75-81(in Chinese). |
[11] |
QIN J, ZHANG M M, ZHAO G J, et al. Characterization of wood surface treated with electroless copper plating by near infrared spectroscopy technology[J]. Spectroscopy and Spectral Analysis, 2015, 35(5): 1253-1257(in Chinese). |
[12] |
PANG X M, YAN Z J, KAN J M. Color image segmentation based on HSI and LAB color space[J]. Journal of Guangxi University(Natural Science Edition), 2011, 36(6): 976-980(in Chinese). |
[13] |
JI Sh J, LUO Y, LI D H, et al. Effect of honey color on determination model establishment of near infrared spectrum[J]. Science and Technology of Food Industry, 2010, 31(8): 345-347(in Chinese). |
[14] |
YAN Y L. Fundamentals and applications of near infrared spectroscopy[M]. Beijing: China Light Industry Press, 2005: 8-39(in Ch-inese). |
[15] |
CHU X L. Chemometrics and molecular spectroscopy[M]. Beijing: Chemical Industry Press, 2011:41-53(in Chinese). |
[16] |
MA C H, CUI J L. Quantitative analysis of composition in molten steel by LIBS based on improved partial least squares[J]. Laser Technology, 2016, 40(6): 876-881(in Chinese). |
[17] |
LIU Y D, XIE Q H, WANG H Y, et al. Quantitative study on phosmet residues in navel oranges based on surface enhanced Raman spectra[J]. Laser Technology, 2017, 41(4): 545-548(in Chin-ese). |
[18] |
FU Y, ZHANG Y J, CHEN H C, et al. Establishment of NIR mo-dels for components determination in fresh chestnut[J]. Food Science and Technology, 2012, 37(5): 42-45(in Chinese). |
[19] |
OUYANG A G, XIE X Q, ZHOU Y R, et al. Partial least squares regression variable screening studies on apple soluble solids NIR spectral detection[J]. Spectroscopy and Spectral Analysis, 2012, 32(10): 2680-2684(in Chinese). |
[20] |
XU L, SHAO X G. Methods of chemometrics[M]. 2nd ed. Beijing: Science Press, 2004: 163-169(in Chinese). |