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Volumn 51, Issue 2, 2008, Pages 649-651

Wheat class identification using thermal imaging: A potential innovative technique

Author keywords

Classes; Thermal imaging; Wheat

Indexed keywords

INFRARED THERMAL IMAGING SYSTEM; WHEAT CLASS IDENTIFICATION;

EID: 44449126309     PISSN: 21510032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (18)

References (10)
  • 1
    • 84865436904 scopus 로고    scopus 로고
    • Canadian Grain Commission, Technologies Section: Variety Identification Monitoring. Available at:, Accessed on 20 March 2008
    • Canadian Grain Commission. 2007. Grain Research Laboratory, Technologies Section: Variety Identification Monitoring. Available at: www.grainscanada.gc. ca/grl/variety_id/vid_monitoring-e.htm. Accessed on 20 March 2008.
    • (2007) Grain Research Laboratory
  • 3
    • 0034473332 scopus 로고    scopus 로고
    • Classification of cereal grains using machine vision: I. Morphology models
    • Majumdar, S., and D. S. Jayas. 2000. Classification of cereal grains using machine vision: I. Morphology models. Trans. ASAE 43(6): 1669-1675.
    • (2000) Trans. ASAE , vol.43 , Issue.6 , pp. 1669-1675
    • Majumdar, S.1    Jayas, D.S.2
  • 4
    • 0002256592 scopus 로고
    • Discrimination of wheat class and variety by digital image analysis of whole grain samples
    • Neuman, M., H. D. Sapirstein, E. Shwedyk, and W. Bushuk. 1987. Discrimination of wheat class and variety by digital image analysis of whole grain samples. J. Cereal Sci. 6(2): 125-132.
    • (1987) J. Cereal Sci , vol.6 , Issue.2 , pp. 125-132
    • Neuman, M.1    Sapirstein, H.D.2    Shwedyk, E.3    Bushuk, W.4
  • 6
    • 0000835574 scopus 로고
    • Determination of wheat kernel morphological variation by digital image analysis: I. Variations in eastern Canadian milling quality wheats
    • Symons, S. J., and R. G. Fulcher. 1988. Determination of wheat kernel morphological variation by digital image analysis: I. Variations in eastern Canadian milling quality wheats. J. Cereal Sci. 8(3): 211-218.
    • (1988) J. Cereal Sci , vol.8 , Issue.3 , pp. 211-218
    • Symons, S.J.1    Fulcher, R.G.2
  • 7
    • 33645231070 scopus 로고    scopus 로고
    • Detection technique for tomato bruise damage by thermal imaging
    • Leuven, Belgium: International Society for Horticultural Science
    • Vanlinden, V., R. Vereycken, C. Bravo, H. Ramon, and J. D. Baerdemaeker. 2003. Detection technique for tomato bruise damage by thermal imaging. In Proc. Intl. Conference: Postharvest Unlimited, 389-394. Leuven, Belgium: International Society for Horticultural Science.
    • (2003) Proc. Intl. Conference: Postharvest Unlimited , pp. 389-394
    • Vanlinden, V.1    Vereycken, R.2    Bravo, C.3    Ramon, H.4    Baerdemaeker, J.D.5
  • 9
    • 0342525669 scopus 로고
    • Efficient strategies for variety identification
    • C. W. Wrigley, ed. St. Paul, Minn, American Association of Cereal Chemists
    • Wrigley, C. W., and I. L. Batey. 1985. Efficient strategies for variety identification. In Identification of Food Grain Varieties, 19-33. C. W. Wrigley, ed. St. Paul, Minn.: American Association of Cereal Chemists.
    • (1985) Identification of Food Grain Varieties , pp. 19-33
    • Wrigley, C.W.1    Batey, I.L.2
  • 10
    • 0001902106 scopus 로고
    • Discrimination between wheat classes and varieties by image analysis
    • Zayas, I, F. S. Lai, and Y. Pomeranz. 1986. Discrimination between wheat classes and varieties by image analysis. Cereal Chem. 63(1): 52-56.
    • (1986) Cereal Chem , vol.63 , Issue.1 , pp. 52-56
    • Zayas, I.1    Lai, F.S.2    Pomeranz, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.