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Volumn 107, Issue 3, 2010, Pages 271-276

Pork meat quality classification using Visible/Near-Infrared spectroscopic data

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; NONDESTRUCTIVE EXAMINATION; QUALITY CONTROL; REGRESSION ANALYSIS; TEXTURES;

EID: 77958456833     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2010.09.006     Document Type: Article
Times cited : (46)

References (20)
  • 1
    • 31144454820 scopus 로고    scopus 로고
    • Chapter 8: quality indicators of raw meat
    • CRC Press, Woodhead Pub, Cambridge, England, J. Kerry, J. Kerry, D. Ledward (Eds.)
    • Aaslyng M.D. Chapter 8: quality indicators of raw meat. Meat processing: Improving quality 2002, 157-166. CRC Press, Woodhead Pub, Cambridge, England. J. Kerry, J. Kerry, D. Ledward (Eds.).
    • (2002) Meat processing: Improving quality , pp. 157-166
    • Aaslyng, M.D.1
  • 2
    • 34247202076 scopus 로고    scopus 로고
    • Prediction of sensory characteristics of lamb meat samples by near infrared reflectance spectroscopy
    • Andrés S., Murray I., Navajas E.A., Fisher A.V., Lambe N.R., Bünger L. Prediction of sensory characteristics of lamb meat samples by near infrared reflectance spectroscopy. Meat Science 2007, 76(3):509-516.
    • (2007) Meat Science , vol.76 , Issue.3 , pp. 509-516
    • Andrés, S.1    Murray, I.2    Navajas, E.A.3    Fisher, A.V.4    Lambe, N.R.5    Bünger, L.6
  • 4
    • 0036766842 scopus 로고    scopus 로고
    • Prediction of pork quality characteristics using visible and near-infrared spectroscopy
    • Chan D.E., Walker P.N., Mills E.W. Prediction of pork quality characteristics using visible and near-infrared spectroscopy. Transactions of the ASAE 2002, 45(5):1519-1527.
    • (2002) Transactions of the ASAE , vol.45 , Issue.5 , pp. 1519-1527
    • Chan, D.E.1    Walker, P.N.2    Mills, E.W.3
  • 5
    • 0034388208 scopus 로고    scopus 로고
    • Development of technology for the early post mortem prediction of water holding capacity and drip loss in fresh pork
    • Forrest J.C., Morgan M.T., Borggaard C., Rasmussen A.J., Jespersen B.L., Andersen J.R. Development of technology for the early post mortem prediction of water holding capacity and drip loss in fresh pork. Meat Science 2000, 55(1):115-122.
    • (2000) Meat Science , vol.55 , Issue.1 , pp. 115-122
    • Forrest, J.C.1    Morgan, M.T.2    Borggaard, C.3    Rasmussen, A.J.4    Jespersen, B.L.5    Andersen, J.R.6
  • 11
    • 0346132714 scopus 로고    scopus 로고
    • Recent methods for predicting quality of whole meat
    • Monin G. Recent methods for predicting quality of whole meat. Meat Science 1998, 49(1):S231-S243.
    • (1998) Meat Science , vol.49 , Issue.1
    • Monin, G.1
  • 12
    • 33749497109 scopus 로고    scopus 로고
    • Chapter 19: new techniques for analyzing raw meat quality
    • CRC Press, Woodhead Pub, Cambridge, England, J. Kerry, J. Kerry, D. Ledward (Eds.)
    • Mullen A.M. Chapter 19: new techniques for analyzing raw meat quality. Meat processing: Improving quality 2002, 394-498. CRC Press, Woodhead Pub, Cambridge, England. J. Kerry, J. Kerry, D. Ledward (Eds.).
    • (2002) Meat processing: Improving quality , pp. 394-498
    • Mullen, A.M.1
  • 13
    • 0000281704 scopus 로고
    • A cautionary note on selection of variables in discriminate analysis
    • Murray G.D. A cautionary note on selection of variables in discriminate analysis. Applied Statistics 1977, 26(3):246-250.
    • (1977) Applied Statistics , vol.26 , Issue.3 , pp. 246-250
    • Murray, G.D.1
  • 15
    • 0035182023 scopus 로고    scopus 로고
    • Principal component regression of near-infrared reflectance spectra for beef tenderness prediction
    • Park B., Chen Y.R., Hruschka W.B., Shackelford S.D., Koohmaraie M. Principal component regression of near-infrared reflectance spectra for beef tenderness prediction. Transactions of the ASAE 2001, 44(3):609-615.
    • (2001) Transactions of the ASAE , vol.44 , Issue.3 , pp. 609-615
    • Park, B.1    Chen, Y.R.2    Hruschka, W.B.3    Shackelford, S.D.4    Koohmaraie, M.5
  • 16
    • 45249097614 scopus 로고    scopus 로고
    • Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples
    • Prieto N., Andrés S., Giráldez F.J., Mantecón, Lavín P. Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples. Meat Science 2008, 79:692-699. 2008.
    • (2008) Meat Science , vol.79 , pp. 692-699
    • Prieto, N.1    Andrés, S.2    Giráldez, F.J.3    Mantecón Lavín, P.4
  • 17
    • 33847197165 scopus 로고    scopus 로고
    • Prediciton of drip-loss, pH, and color for pork using a hyperspectral imaging technique
    • Qiao J., Ngadi M., Wang N., Gunenc A., Monroy M., Garipey C., et al. Prediciton of drip-loss, pH, and color for pork using a hyperspectral imaging technique. Meat Science 2006, 76(1):1-8.
    • (2006) Meat Science , vol.76 , Issue.1 , pp. 1-8
    • Qiao, J.1    Ngadi, M.2    Wang, N.3    Gunenc, A.4    Monroy, M.5    Garipey, C.6
  • 19
    • 77958469909 scopus 로고    scopus 로고
    • Pork quality measurements systems: practical Considerations of WHC measurements for processed meats
    • American Meat Science Association, IL, USA
    • Seman D.L. Pork quality measurements systems: practical Considerations of WHC measurements for processed meats. Third annual pork quality improvement symposium 2002, American Meat Science Association, IL, USA.
    • (2002) Third annual pork quality improvement symposium
    • Seman, D.L.1
  • 20
    • 34147094773 scopus 로고    scopus 로고
    • Use of visible spectroscopy for quality classification of intact pork meat
    • Xing J., Ngadi M., Gunenc A., Prasher S., Garipey C. Use of visible spectroscopy for quality classification of intact pork meat. Journal of Food Engineering 2007, 82(2):135-141.
    • (2007) Journal of Food Engineering , vol.82 , Issue.2 , pp. 135-141
    • Xing, J.1    Ngadi, M.2    Gunenc, A.3    Prasher, S.4    Garipey, C.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.