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2010 | 10 |

Tytuł artykułu

Sugar content determination using computer vision system

Warianty tytułu

PL
Wyznaczanie poziomu zawartosci cukru za pomoca systemu wizyjnego

Języki publikacji

EN

Abstrakty

EN
PL

Wydawca

-

Rocznik

Tom

10

Opis fizyczny

p.538-547,fig.,ref.

Twórcy

autor
  • Department of Production Engineering, University of Rzeszow, Cwiklinskiej 2, 35-601 Rzeszow, Poland
autor
autor
autor
autor

Bibliografia

  • Ahmada, U., Kondo, N., Montaa, M., and H. Muraseh, 2000.: Machine Vision Based Quality Evaluation of I yok an Orange Fruit using Neural Networks. Computers and Electronics in Agriculture, 29(1-2): 135-147
  • Bellon-Maurel, V., 1992.: Application de la spectroscopie proche infrarouge au controle enligne de la ąualite des fruits et legumes, These de doctorat. (Application of NIR- spectroscopy in on line control system for quality of fruits and vegetables, Ph.D. thesis.) 1 Institut National Polytechniąue de Toulouse, Toulouse, France.
  • Brosnan,T. and Sun D.W., 2002.: Inspection and grading of agricultural and food products by computer vision systems: a review. Computers and Electronics in Agriculture. 36(2): 193-213.
  • Dobrzański B. jr., Rybczyński R., Dobrzańska A., Wójcik W, 2001.: Some physical and nutritional quality parameters of storage apple. International Agrophysics 15,13-13.
  • Dull, G. G., R. G. Leffler; G. S. Birth, and D. A. Smittle., 1992.: Instrument for non-destructive measurement of soluble solids in honeydew melons. Transactions of the ASAE 35(2), 735-737.
  • Kawano, S., Watanabe H., and Iwamoto M., 1992.: Determination of sugar content in intact peaches by near infrared spectroscopy with fibber optics in interactions mode. J Japan. Hort. Sbi. 61 (2): 445- 451.
  • Jagdish C. Tewari, Vivechana Dixit, Byoung-Kwan Cho, Kamal A., 2003.: Molecular and Biomole cular Spectroscopy. Spectrochimica Acta Part A. 13 March 2003.
  • Mohsenin N. N., 1936.: Physical Properties of Plant and Animal Materials. New York, N.Y.:Gordon and Breach Science Publishers.
  • Moons, E., Dubois A., S indic M.., 1997.: Non-destructive visible and NIR spectroscopy for the determination of internal quality in apple. In Proc., Sensors for N on-destructive Testing IntT. Conf, Orlando, Florida, February. Ithaca, N.Y.:Northeast Regional Agricultural Engineering Service.
  • Puchalski Cz., Gorzelany J., Zagula G., Brusewitz G., 2003.: Image analysis for apple defect detection. TEKA Kom. Mot. Energ. Roln. - OL PAN, 2003,3, 197-205.
  • Slaughter, D. C., 1995.: Non-destructive determination of internal quality in peaches and nectarines. Transactions of the ASAE 33(2), 617-623.
  • Steinmetz, V., Roger, J.M., Molto, E. and Blasco J., 1999.: On-line fusion of colour camera and spectrophotometer for sugar content prediction of apples. Journal of Agricultural Engineering Research,. 73, 207-216.
  • Ventura M. et al., 1993.: Non-destructive determination of soluble solids in apple fruit by near infrared spectroscopy (N IRS). Post harvest Biology and Technology, 14,21-27.
  • Yan-de Liu, Yi-binYing, Xiaping Fu, Huishan Lu, 2007.: Journal of Food Enginering Volume30, Issue 3, June2007, Pages 936-939.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-651c4cfb-c61b-4275-9f60-de2b3baa326d
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