메뉴 건너뛰기




Volumn 118, Issue 2, 2013, Pages 157-171

Hyperspectral and multispectral imaging for evaluating food safety and quality

Author keywords

Food quality; Food safety; Hyperspectral; Machine vision; Multispectral; Nondestructive sensing

Indexed keywords

FOOD QUALITY; HYPERSPECTRAL; MULTI-SPECTRAL; MULTISPECTRAL IMAGING; NONDESTRUCTIVE SENSING; SPECTRAL IMAGING SYSTEM; SPECTRAL IMAGING TECHNIQUE; SPECTRAL IMAGING TECHNOLOGY;

EID: 84877757536     PISSN: 02608774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jfoodeng.2013.04.001     Document Type: Review
Times cited : (349)

References (72)
  • 1
    • 0036220619 scopus 로고    scopus 로고
    • Multispectral inspection of citrus in real-time using machine vision and digital signal processors
    • N. Aleixos, J. Blasco, F. Navarrón, and E. Moltó Multispectral inspection of citrus in real-time using machine vision and digital signal processors Computers and Electronics in Agriculture 33 2 2002 121 137
    • (2002) Computers and Electronics in Agriculture , vol.33 , Issue.2 , pp. 121-137
    • Aleixos, N.1    Blasco, J.2    Navarrón, F.3    Moltó, E.4
  • 2
    • 61349091865 scopus 로고    scopus 로고
    • Quality evaluation of pickling cucumbers using hyperspectral reflectance and transmittance imaging: Part I. Development of a prototype
    • D.P. Ariana, and R. Lu Quality evaluation of pickling cucumbers using hyperspectral reflectance and transmittance imaging: Part I. Development of a prototype Sensing and Instrumentation for Food Quality and Safety 2 3 2008 144 151
    • (2008) Sensing and Instrumentation for Food Quality and Safety , vol.2 , Issue.3 , pp. 144-151
    • Ariana, D.P.1    Lu, R.2
  • 3
    • 84863492766 scopus 로고    scopus 로고
    • Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes
    • A. Baiano, C. Terracone, G. Peri, and R. Romaniello Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes Computers and Electronics in Agriculture 87 2012 142 151
    • (2012) Computers and Electronics in Agriculture , vol.87 , pp. 142-151
    • Baiano, A.1    Terracone, C.2    Peri, G.3    Romaniello, R.4
  • 4
    • 4243114955 scopus 로고    scopus 로고
    • Hyperspectral image data mining for band selection in agricultural applications
    • S.G. Bajwa, P. Bajcsy, P. Groves, and L. Tian Hyperspectral image data mining for band selection in agricultural applications Transactions of the ASAE 47 3 2004 895 907
    • (2004) Transactions of the ASAE , vol.47 , Issue.3 , pp. 895-907
    • Bajwa, S.G.1    Bajcsy, P.2    Groves, P.3    Tian, L.4
  • 6
    • 0034248782 scopus 로고    scopus 로고
    • An information theoretic-based approach to spectral variability, similarity and discriminability for hyperspectral image analysis
    • C.I. Chang An information theoretic-based approach to spectral variability, similarity and discriminability for hyperspectral image analysis IEEE Transactions on Information Theory 46 5 2000 1927 1932
    • (2000) IEEE Transactions on Information Theory , vol.46 , Issue.5 , pp. 1927-1932
    • Chang, C.I.1
  • 8
    • 0036278296 scopus 로고    scopus 로고
    • Use of hyper- and multi-spectral imaging for detection of chicken skin tumors
    • K. Chao, P.M. Mehl, and Y.R. Chen Use of hyper- and multi-spectral imaging for detection of chicken skin tumors Applied Engineering in Agriculture 18 1 2002 113 119
    • (2002) Applied Engineering in Agriculture , vol.18 , Issue.1 , pp. 113-119
    • Chao, K.1    Mehl, P.M.2    Chen, Y.R.3
  • 9
    • 49849087294 scopus 로고    scopus 로고
    • High throughput spectral imaging system for wholesomeness inspection of chicken
    • K. Chao, C.C. Yang, M.S. Kim, and D.E. Chan High throughput spectral imaging system for wholesomeness inspection of chicken Applied Engineering in Agriculture 24 4 2008 475 485
    • (2008) Applied Engineering in Agriculture , vol.24 , Issue.4 , pp. 475-485
    • Chao, K.1    Yang, C.C.2    Kim, M.S.3    Chan, D.E.4
  • 10
    • 2342507753 scopus 로고    scopus 로고
    • Single-kernel maize analysis by near-infrared hyperspectral imaging
    • R.P. Cogdill, C.R. Hurburgh, and G.R. Rippke Single-kernel maize analysis by near-infrared hyperspectral imaging Transactions of the ASAE 47 1 2004 311 320
    • (2004) Transactions of the ASAE , vol.47 , Issue.1 , pp. 311-320
    • Cogdill, R.P.1    Hurburgh, C.R.2    Rippke, G.R.3
  • 12
    • 52649106963 scopus 로고    scopus 로고
    • High-speed assessment of fat and water content distribution in fish fillets using online imaging spectroscopy
    • G. ElMasry, and J.P. Wold High-speed assessment of fat and water content distribution in fish fillets using online imaging spectroscopy Journal of Agricultural and Food Chemistry 56 17 2008 7672 7677
    • (2008) Journal of Agricultural and Food Chemistry , vol.56 , Issue.17 , pp. 7672-7677
    • Elmasry, G.1    Wold, J.P.2
  • 13
    • 33846619199 scopus 로고    scopus 로고
    • Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry
    • G. ElMasry, N. Wang, A. ElSayed, and M. Ngadi Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry Journal of Food Engineering 81 1 2007 98 107
    • (2007) Journal of Food Engineering , vol.81 , Issue.1 , pp. 98-107
    • Elmasry, G.1    Wang, N.2    Elsayed, A.3    Ngadi, M.4
  • 16
    • 53649111205 scopus 로고    scopus 로고
    • Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus)
    • A.A. Gowen, C.P. O'Donnell, M. Taghizadeh, P.J. Cullen, J.M. Frias, and G. Downey Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus) Journal of Chemometrics 22 3-4 2008 259 267
    • (2008) Journal of Chemometrics , vol.22 , Issue.34 , pp. 259-267
    • Gowen, A.A.1    O'Donnell, C.P.2    Taghizadeh, M.3    Cullen, P.J.4    Frias, J.M.5    Downey, G.6
  • 18
    • 0036273055 scopus 로고    scopus 로고
    • Multi-spectral prediction of unripe tomatoes
    • F. Hahn Multi-spectral prediction of unripe tomatoes Biosystems Engineering 81 2 2002 147 155
    • (2002) Biosystems Engineering , vol.81 , Issue.2 , pp. 147-155
    • Hahn, F.1
  • 19
    • 79952043057 scopus 로고    scopus 로고
    • Application of NIR hyperspectral imaging for discrimination of lamb muscles
    • M. Kamruzzaman, G. ElMasry, D. Sun, and P. Allen Application of NIR hyperspectral imaging for discrimination of lamb muscles Journal of Food Engineering 104 3 2011 332 340
    • (2011) Journal of Food Engineering , vol.104 , Issue.3 , pp. 332-340
    • Kamruzzaman, M.1    Elmasry, G.2    Sun, D.3    Allen, P.4
  • 20
    • 79954485587 scopus 로고    scopus 로고
    • Line-scan hyperspectral imaging platform for agro-food safety and quality evaluation: System enhancement and characterization
    • M.S. Kim, K. Chao, D.E. Chan, W. Jun, A.M. Lefcourt, S.R. Delwiche, S. Kang, and K. Lee Line-scan hyperspectral imaging platform for agro-food safety and quality evaluation: system enhancement and characterization Transactions of the ASABE 54 2 2011 703 711
    • (2011) Transactions of the ASABE , vol.54 , Issue.2 , pp. 703-711
    • Kim, M.S.1    Chao, K.2    Chan, D.E.3    Jun, W.4    Lefcourt, A.M.5    Delwiche, S.R.6    Kang, S.7    Lee, K.8
  • 21
    • 0035175852 scopus 로고    scopus 로고
    • Hyperspectral reflectance and fluorescence imaging system for food quality and safety
    • M.S. Kim, Y.R. Chen, and P.M. Mehl Hyperspectral reflectance and fluorescence imaging system for food quality and safety Transactions of the ASAE 44 3 2001 721 729
    • (2001) Transactions of the ASAE , vol.44 , Issue.3 , pp. 721-729
    • Kim, M.S.1    Chen, Y.R.2    Mehl, P.M.3
  • 23
    • 77349100556 scopus 로고    scopus 로고
    • Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: Multitask apple inspection system
    • M.S. Kim, K. Lee, K. Chao, A.M. Lefcourt, W. Jun, and D.E. Chan Multispectral line-scan imaging system for simultaneous fluorescence and reflectance measurements of apples: multitask apple inspection system Sensing and Instrumentation for Food Quality and Safety 2 2 2008 123 129
    • (2008) Sensing and Instrumentation for Food Quality and Safety , vol.2 , Issue.2 , pp. 123-129
    • Kim, M.S.1    Lee, K.2    Chao, K.3    Lefcourt, A.M.4    Jun, W.5    Chan, D.E.6
  • 24
    • 0042526646 scopus 로고    scopus 로고
    • Multispectral laser-induced fluorescence imaging system for large biological samples
    • M.S. Kim, A.M. Lefcourt, and Y.R. Chen Multispectral laser-induced fluorescence imaging system for large biological samples Applied Optics 42 19 2003 3927 3934
    • (2003) Applied Optics , vol.42 , Issue.19 , pp. 3927-3934
    • Kim, M.S.1    Lefcourt, A.M.2    Chen, Y.R.3
  • 25
    • 0242486677 scopus 로고    scopus 로고
    • Multispectral detection of fecal contamination on apples based on hyperspectral imagery: Part i - Application of visible and near-infrared reflectance imaging
    • M.S. Kim, A.M. Lefcourt, K. Chao, Y.R. Chen, I. Kim, and D.E. Chan 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 2002 2027 2037
    • (2002) Transactions of the ASAE , vol.45 , Issue.6 , pp. 2027-2037
    • Kim, M.S.1    Lefcourt, A.M.2    Chao, K.3    Chen, Y.R.4    Kim, I.5    Chan, D.E.6
  • 28
    • 13444280325 scopus 로고    scopus 로고
    • Development of a multi-spectral vision system for the detection of defects on apples
    • O. Kleynen, V. Leemans, and M.F. Destain Development of a multi-spectral vision system for the detection of defects on apples Journal of Food Engineering 69 1 2005 41 49
    • (2005) Journal of Food Engineering , vol.69 , Issue.1 , pp. 41-49
    • Kleynen, O.1    Leemans, V.2    Destain, M.F.3
  • 30
    • 77649164344 scopus 로고    scopus 로고
    • Correlation analysis of hyperspectral imagery for multispectral wavelength selection for detection of defects on apples
    • K. Lee, S. Kang, S.R. Delwiche, M.S. Kim, and S. Noh Correlation analysis of hyperspectral imagery for multispectral wavelength selection for detection of defects on apples Sensing and Instrumentation for Food Quality and Safety 2 2 2008 90 96
    • (2008) Sensing and Instrumentation for Food Quality and Safety , vol.2 , Issue.2 , pp. 90-96
    • Lee, K.1    Kang, S.2    Delwiche, S.R.3    Kim, M.S.4    Noh, S.5
  • 31
    • 12344306144 scopus 로고    scopus 로고
    • Development of a simple algorithm for the detection of chilling injury in cucumbers from visible/near-infrared hyperspectral imaging
    • Y. Liu, Y.R. Chen, C. Wang, D.E. Chan, and M.S. Kim Development of a simple algorithm for the detection of chilling injury in cucumbers from visible/near-infrared hyperspectral imaging Applied Spectroscopy 59 1 2005 78 85
    • (2005) Applied Spectroscopy , vol.59 , Issue.1 , pp. 78-85
    • Liu, Y.1    Chen, Y.R.2    Wang, C.3    Chan, D.E.4    Kim, M.S.5
  • 32
    • 63149092946 scopus 로고    scopus 로고
    • Multispectral images of peach related to firmness and maturity at harvest
    • L. Lleo, P. Barreiro, M. Ruiz-Altisent, and A. Herrero Multispectral images of peach related to firmness and maturity at harvest Journal of Food Engineering 93 2 2009 229 235
    • (2009) Journal of Food Engineering , vol.93 , Issue.2 , pp. 229-235
    • Lleo, L.1    Barreiro, P.2    Ruiz-Altisent, M.3    Herrero, A.4
  • 34
    • 0037594488 scopus 로고    scopus 로고
    • Detection of bruises on apples using near-infrared hyperspectral imaging
    • R. Lu Detection of bruises on apples using near-infrared hyperspectral imaging Transactions of the ASAE 46 2 2003 523 530
    • (2003) Transactions of the ASAE , vol.46 , Issue.2 , pp. 523-530
    • Lu, R.1
  • 35
    • 32144452099 scopus 로고    scopus 로고
    • Hyperspectral scattering for assessing peach fruit firmness
    • R. Lu, and Y. Peng Hyperspectral scattering for assessing peach fruit firmness Biosystems Engineering 93 2 2006 161 171
    • (2006) Biosystems Engineering , vol.93 , Issue.2 , pp. 161-171
    • Lu, R.1    Peng, Y.2
  • 36
    • 37549021826 scopus 로고    scopus 로고
    • Development of a multispectral imaging prototype for real-time detection of apple fruit firmness
    • R. Lu, and Y. Peng Development of a multispectral imaging prototype for real-time detection of apple fruit firmness Optical Engineering 46 12 2007 123201
    • (2007) Optical Engineering , vol.46 , Issue.12 , pp. 123201
    • Lu, R.1    Peng, Y.2
  • 37
    • 85165621729 scopus 로고
    • Imaging spectrometers for fluorescence and Raman microscopy - Acousto-optic and liquid-crystal tunable filters
    • H.R. Morris, C.C. Hoyt, and P.J. Treado Imaging spectrometers for fluorescence and Raman microscopy - acousto-optic and liquid-crystal tunable filters Applied Spectroscopy 48 7 1994 857 866
    • (1994) Applied Spectroscopy , vol.48 , Issue.7 , pp. 857-866
    • Morris, H.R.1    Hoyt, C.C.2    Treado, P.J.3
  • 39
    • 67349221422 scopus 로고    scopus 로고
    • Hyperspectral waveband selection for contaminant detection on poultry carcasses
    • S. Nakariyakul, and D.P. Casasent Hyperspectral waveband selection for contaminant detection on poultry carcasses Optical Engineering 47 8 2008 087202
    • (2008) Optical Engineering , vol.47 , Issue.8 , pp. 087202
    • Nakariyakul, S.1    Casasent, D.P.2
  • 42
    • 33846991595 scopus 로고    scopus 로고
    • Hyperspectral laser-induced fluorescence imaging for assessing apple fruit quality
    • H.K. Noh, and R. Lu Hyperspectral laser-induced fluorescence imaging for assessing apple fruit quality Postharvest Biology and Technology 43 2 2007 193 201
    • (2007) Postharvest Biology and Technology , vol.43 , Issue.2 , pp. 193-201
    • Noh, H.K.1    Lu, R.2
  • 44
    • 0242313414 scopus 로고    scopus 로고
    • Hyperspectral imaging for detecting fecal and ingesta contaminants on poultry carcasses
    • B. Park, K.C. Lawrence, W.R. Windham, and R.J. Buhr Hyperspectral imaging for detecting fecal and ingesta contaminants on poultry carcasses Transactions of the ASAE 45 6 2002 2017 2026
    • (2002) Transactions of the ASAE , vol.45 , Issue.6 , pp. 2017-2026
    • Park, B.1    Lawrence, K.C.2    Windham, W.R.3    Buhr, R.J.4
  • 45
    • 33846914889 scopus 로고    scopus 로고
    • Contaminant classification of poultry hyperspectral imagery using a spectral angle mapper algorithm
    • B. Park, W.R. Windham, K.C. Lawrence, and D.P. Smith Contaminant classification of poultry hyperspectral imagery using a spectral angle mapper algorithm Biosystems Engineering 96 3 2007 323 333
    • (2007) Biosystems Engineering , vol.96 , Issue.3 , pp. 323-333
    • Park, B.1    Windham, W.R.2    Lawrence, K.C.3    Smith, D.P.4
  • 46
    • 33645455228 scopus 로고    scopus 로고
    • An LCTF-based multispectral imaging system for estimation of apple fruit firmness: Part I. Acquisition and characterization of scattering images
    • Y. Peng, and R. Lu An LCTF-based multispectral imaging system for estimation of apple fruit firmness: Part I. Acquisition and characterization of scattering images Transactions of the ASAE 49 1 2006 259 267
    • (2006) Transactions of the ASAE , vol.49 , Issue.1 , pp. 259-267
    • Peng, Y.1    Lu, R.2
  • 47
    • 77957258576 scopus 로고    scopus 로고
    • Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles
    • Y. Peng, J. Zhang, W. Wang, Y. Li, J. Wu, H. Huang, X. Gao, and W. Jiang Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles Journal of Food Engineering 102 2 2011 163 169
    • (2011) Journal of Food Engineering , vol.102 , Issue.2 , pp. 163-169
    • Peng, Y.1    Zhang, J.2    Wang, W.3    Li, Y.4    Wu, J.5    Huang, H.6    Gao, X.7    Jiang, W.8
  • 49
    • 34249081794 scopus 로고    scopus 로고
    • Pork quality and marbling level assessment using a hyperspectral imaging system
    • J. Qiao, M.O. Ngadi, N. Wang, C. Gariepy, and S.O. Prasher Pork quality and marbling level assessment using a hyperspectral imaging system Journal of Food Engineering 83 1 2007 10 16
    • (2007) Journal of Food Engineering , vol.83 , Issue.1 , pp. 10-16
    • Qiao, J.1    Ngadi, M.O.2    Wang, N.3    Gariepy, C.4    Prasher, S.O.5
  • 51
    • 62849105272 scopus 로고    scopus 로고
    • Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence
    • J. Qin, T.F. Burks, M.A. Ritenour, and W.G. Bonn Detection of citrus canker using hyperspectral reflectance imaging with spectral information divergence Journal of Food Engineering 93 2 2009 183 191
    • (2009) Journal of Food Engineering , vol.93 , Issue.2 , pp. 183-191
    • Qin, J.1    Burks, T.F.2    Ritenour, M.A.3    Bonn, W.G.4
  • 52
    • 84859324664 scopus 로고    scopus 로고
    • Development of a two-band spectral imaging system for real-time citrus canker detection
    • J. Qin, T.F. Burks, X. Zhao, N. Niphadkar, and M.A. Ritenour Development of a two-band spectral imaging system for real-time citrus canker detection Journal of Food Engineering 108 1 2012 87 93
    • (2012) Journal of Food Engineering , vol.108 , Issue.1 , pp. 87-93
    • Qin, J.1    Burks, T.F.2    Zhao, X.3    Niphadkar, N.4    Ritenour, M.A.5
  • 53
    • 78649519913 scopus 로고    scopus 로고
    • Raman chemical imaging system for food safety and quality inspection
    • J. Qin, K. Chao, and M.S. Kim Raman chemical imaging system for food safety and quality inspection Transactions of the ASABE 53 6 2010 1873 1882
    • (2010) Transactions of the ASABE , vol.53 , Issue.6 , pp. 1873-1882
    • Qin, J.1    Chao, K.2    Kim, M.S.3
  • 54
    • 79951599646 scopus 로고    scopus 로고
    • Detection of organic residues on poultry processing equipment surfaces by LED-induced fluorescence imaging
    • J. Qin, K. Chao, M.S. Kim, S. Kang, B.K. Cho, and W. Jun Detection of organic residues on poultry processing equipment surfaces by LED-induced fluorescence imaging Applied Engineering in Agriculture 27 1 2011 153 161
    • (2011) Applied Engineering in Agriculture , vol.27 , Issue.1 , pp. 153-161
    • Qin, J.1    Chao, K.2    Kim, M.S.3    Kang, S.4    Cho, B.K.5    Jun, W.6
  • 55
    • 28944447883 scopus 로고    scopus 로고
    • Detection of pits in tart cherries by hyperspectral transmission imaging
    • J. Qin, and R. Lu Detection of pits in tart cherries by hyperspectral transmission imaging Transactions of the ASAE 48 5 2005 1963 1970
    • (2005) Transactions of the ASAE , vol.48 , Issue.5 , pp. 1963-1970
    • Qin, J.1    Lu, R.2
  • 56
    • 34247182689 scopus 로고    scopus 로고
    • Measurement of the absorption and scattering properties of turbid liquid foods using hyperspectral imaging
    • J. Qin, and R. Lu Measurement of the absorption and scattering properties of turbid liquid foods using hyperspectral imaging Applied Spectroscopy 61 4 2007 388 396
    • (2007) Applied Spectroscopy , vol.61 , Issue.4 , pp. 388-396
    • Qin, J.1    Lu, R.2
  • 57
    • 46549089838 scopus 로고    scopus 로고
    • Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique
    • J. Qin, and R. Lu Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique Postharvest Biology and Technology 49 3 2008 355 365
    • (2008) Postharvest Biology and Technology , vol.49 , Issue.3 , pp. 355-365
    • Qin, J.1    Lu, R.2
  • 59
    • 38549085261 scopus 로고    scopus 로고
    • Detection of green apples in hyperspectral images of apple-tree foliage using machine vision
    • O. Safren, V. Alchanatis, V. Ostrovsky, and O. Levi Detection of green apples in hyperspectral images of apple-tree foliage using machine vision Transactions of the ASABE 50 6 2007 2303 2313
    • (2007) Transactions of the ASABE , vol.50 , Issue.6 , pp. 2303-2313
    • Safren, O.1    Alchanatis, V.2    Ostrovsky, V.3    Levi, O.4
  • 63
    • 81055140090 scopus 로고    scopus 로고
    • Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderia cepacia)-infected onions
    • W. Wang, C. Li, E.W. Tollner, R.D. Gitaitis, and G.C. Rains Shortwave infrared hyperspectral imaging for detecting sour skin (Burkholderia cepacia)-infected onions Journal of Food Engineering 109 1 2012 38 48
    • (2012) Journal of Food Engineering , vol.109 , Issue.1 , pp. 38-48
    • Wang, W.1    Li, C.2    Tollner, E.W.3    Gitaitis, R.D.4    Rains, G.C.5
  • 64
    • 31944438696 scopus 로고    scopus 로고
    • Prediction of oil and oleic acid concentrations in individual corn (Zea mays L.) kernels using near-infrared reflectance hyperspectral imaging and multivariate analysis
    • B.A. Weinstock, J. Janni, L. Hagen, and S. Wright Prediction of oil and oleic acid concentrations in individual corn (Zea mays L.) kernels using near-infrared reflectance hyperspectral imaging and multivariate analysis Applied Spectroscopy 60 1 2006 9 16
    • (2006) Applied Spectroscopy , vol.60 , Issue.1 , pp. 9-16
    • Weinstock, B.A.1    Janni, J.2    Hagen, L.3    Wright, S.4
  • 65
    • 43549087823 scopus 로고    scopus 로고
    • Application of image texture for the sorting of tea categories using multi-spectral imaging technique and support vector machine
    • D. Wu, H. Yang, X. Chen, Y. He, and X. Li Application of image texture for the sorting of tea categories using multi-spectral imaging technique and support vector machine Journal of Food Engineering 88 4 2008 474 483
    • (2008) Journal of Food Engineering , vol.88 , Issue.4 , pp. 474-483
    • Wu, D.1    Yang, H.2    Chen, X.3    He, Y.4    Li, X.5
  • 66
    • 77955512835 scopus 로고    scopus 로고
    • Determining optimal wavebands using genetic algorithm for detection of internal insect infestation in tart cherry
    • J. Xing, D. Guyer, D. Ariana, and R. Lu Determining optimal wavebands using genetic algorithm for detection of internal insect infestation in tart cherry Sensing and Instrumentation for Food Quality and Safety 2 3 2008 161 167
    • (2008) Sensing and Instrumentation for Food Quality and Safety , vol.2 , Issue.3 , pp. 161-167
    • Xing, J.1    Guyer, D.2    Ariana, D.3    Lu, R.4
  • 67
    • 79953205729 scopus 로고    scopus 로고
    • Using a short wavelength infrared (SWIR) hyperspectral imaging system to predict alpha amylase activity in individual Canadian western wheat kernels
    • J. Xing, P. Huang, S. Symons, M. Shahin, and D. Hatcher Using a short wavelength infrared (SWIR) hyperspectral imaging system to predict alpha amylase activity in individual Canadian western wheat kernels Sensing and Instrumentation for Food Quality and Safety 3 4 2009 211 218
    • (2009) Sensing and Instrumentation for Food Quality and Safety , vol.3 , Issue.4 , pp. 211-218
    • Xing, J.1    Huang, P.2    Symons, S.3    Shahin, M.4    Hatcher, D.5
  • 68
    • 77952244549 scopus 로고    scopus 로고
    • Correlation and classification of single kernel fluorescence hyperspectral data with aflatoxin concentration in corn kernels inoculated with Aspergillus flavus spores
    • H. Yao, Z. Hruska, R. Kincaid, R. Brown, T. Cleveland, and D. Bhatnagar Correlation and classification of single kernel fluorescence hyperspectral data with aflatoxin concentration in corn kernels inoculated with Aspergillus flavus spores Food Additives & Contaminants: Part A 27 5 2010 701 709
    • (2010) Food Additives & Contaminants: Part A , vol.27 , Issue.5 , pp. 701-709
    • Yao, H.1    Hruska, Z.2    Kincaid, R.3    Brown, R.4    Cleveland, T.5    Bhatnagar, D.6
  • 69
    • 41749104213 scopus 로고    scopus 로고
    • Bone fragment detection in chicken breast fillets using transmittance image enhancement
    • S.C. Yoon, K.C. Lawrence, D.P. Smith, B. Park, and W.R. Windham Bone fragment detection in chicken breast fillets using transmittance image enhancement Transactions of the ASABE 51 1 2008 331 339
    • (2008) Transactions of the ASABE , vol.51 , Issue.1 , pp. 331-339
    • Yoon, S.C.1    Lawrence, K.C.2    Smith, D.P.3    Park, B.4    Windham, W.R.5
  • 70
    • 36248967204 scopus 로고    scopus 로고
    • Classification of fungal infected wheat kernels using near-infrared reflectance hyperspectral imaging and support vector machine
    • H. Zhang, J. Paliwal, D.S. Jayas, and N.D.G. White Classification of fungal infected wheat kernels using near-infrared reflectance hyperspectral imaging and support vector machine Transactions of the ASABE 50 5 2007 1779 1785
    • (2007) Transactions of the ASABE , vol.50 , Issue.5 , pp. 1779-1785
    • Zhang, H.1    Paliwal, J.2    Jayas, D.S.3    White, N.D.G.4
  • 71
    • 67749093161 scopus 로고    scopus 로고
    • Automated tea quality classification by hyperspectral imaging
    • J. Zhao, Q. Chen, J. Cai, and Q. Ouyang Automated tea quality classification by hyperspectral imaging Applied Optics 48 19 2009 3557 3564
    • (2009) Applied Optics , vol.48 , Issue.19 , pp. 3557-3564
    • Zhao, J.1    Chen, Q.2    Cai, J.3    Ouyang, Q.4
  • 72
    • 77957733165 scopus 로고    scopus 로고
    • Walnut shell and meat differentiation using fluorescence hyperspectral imagery with ICA-kNN optimal wavelength selection
    • B. Zhu, L. Jiang, F. Jin, L. Qin, A. Vogel, and Y. Tao Walnut shell and meat differentiation using fluorescence hyperspectral imagery with ICA-kNN optimal wavelength selection Sensing and Instrumentation for Food Quality and Safety 1 3 2007 123 131
    • (2007) Sensing and Instrumentation for Food Quality and Safety , vol.1 , Issue.3 , pp. 123-131
    • Zhu, B.1    Jiang, L.2    Jin, F.3    Qin, L.4    Vogel, A.5    Tao, Y.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.