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Volumn 51, Issue 2, 2009, Pages 220-226

Spectral reflectance characteristics of citrus canker and other peel conditions of grapefruit

Author keywords

Citrus canker; Discriminant analysis; Spectral reflectance

Indexed keywords

CITRUS; CITRUS X PARADISI;

EID: 57049182962     PISSN: 09255214     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.postharvbio.2008.07.014     Document Type: Article
Times cited : (49)

References (14)
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  • 2
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  • 3
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    • Canteros, B.I., 2004. Management of Citrus Canker in Argentina. A Review. Proc. Int. Soc. Citriculture, Paper no. 90.
    • Canteros, B.I., 2004. Management of Citrus Canker in Argentina. A Review. Proc. Int. Soc. Citriculture, Paper no. 90.
  • 4
    • 57049156667 scopus 로고    scopus 로고
    • Florida Department of Agriculture and Consumer Services. Citrus Canker Fact Sheet, 2008. Available at: http://www.doacs.state.fl.us/pi/canker/faqs.html.
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  • 5
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    • Reflectance properties of citrus fruits
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    • Gottwald, T.R.1    Graham, J.H.2    Schubert, T.S.3
  • 7
    • 57049187855 scopus 로고    scopus 로고
    • Kane, K.E., 2006. Identification and Classification of Green Citrus by Spectral Characteristics for Precision Agriculture. M.S. Thesis. University of Florida, Department of Agricultural and Biological Engineering.
    • Kane, K.E., 2006. Identification and Classification of Green Citrus by Spectral Characteristics for Precision Agriculture. M.S. Thesis. University of Florida, Department of Agricultural and Biological Engineering.
  • 8
    • 13444280325 scopus 로고    scopus 로고
    • Development of a multi-spectral vision system for the detection of defects on apples
    • Kleynen O., Leemans V., and Destain M.F. Development of a multi-spectral vision system for the detection of defects on apples. J. Food Eng. 69 (2005) 41-49
    • (2005) J. Food Eng. , vol.69 , pp. 41-49
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  • 9
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    • Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis
    • Mehl P., Chao K., Kim M., and Chen Y.R. Detection of defects on selected apple cultivars using hyperspectral and multispectral image analysis. Appl. Eng. Agric. 18 2 (2002) 219-226
    • (2002) Appl. Eng. Agric. , vol.18 , Issue.2 , pp. 219-226
    • Mehl, P.1    Chao, K.2    Kim, M.3    Chen, Y.R.4
  • 11
    • 33646118990 scopus 로고    scopus 로고
    • Identification of citrus disease using color texture features and discriminant analysis
    • Pydipati R., Burks T.F., and Lee W.S. Identification of citrus disease using color texture features and discriminant analysis. Comput. Electron. Agric. 52 (2006) 49-59
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    • Pydipati, R.1    Burks, T.F.2    Lee, W.S.3
  • 12
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    • Quality evaluation of apples based on surface defects: development of an automated inspection system
    • Throop J.A., Aneshansley D.J., Anger W.C., and Peterson D.L. Quality evaluation of apples based on surface defects: development of an automated inspection system. Postharvest Biol. Technol. 36 (2005) 281-290
    • (2005) Postharvest Biol. Technol. , vol.36 , pp. 281-290
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  • 13
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    • Unay, D.1    Gosselin, B.2
  • 14
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    • USDA, 2006. USDA Determines Citrus Canker Eradication not Feasible. Department Press Release. Available at: http://www.doacs.state.fl.us/press/2006/01112006_2.html. Accessed 23 July 2007.
    • USDA, 2006. USDA Determines Citrus Canker Eradication not Feasible. Department Press Release. Available at: http://www.doacs.state.fl.us/press/2006/01112006_2.html. Accessed 23 July 2007.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.