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Volumn 104, Issue 1, 2009, Pages 1-7

Hyperspectral waveband selection for on-line measurement of grain cleanness

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLEANING; GENETIC ALGORITHMS; GRAIN (AGRICULTURAL PRODUCT);

EID: 68349086899     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2009.05.011     Document Type: Article
Times cited : (82)

References (13)
  • 3
    • 31144435723 scopus 로고    scopus 로고
    • Digital imaging based classification and authentication of granular food products
    • Carter R.M., Yan Y., and Tomlins K. Digital imaging based classification and authentication of granular food products. Measurement Science and Technology 17 2 (2006) 235-240
    • (2006) Measurement Science and Technology , vol.17 , Issue.2 , pp. 235-240
    • Carter, R.M.1    Yan, Y.2    Tomlins, K.3
  • 4
    • 35748937042 scopus 로고    scopus 로고
    • A genetic input selection methodology for identification of the cleaning process on a combine harvester, part 2: selection of relevant input variables for identification of material other than grain (MOG) content in the grain bin
    • Craessaerts G., Saeys W., Missotten B., and De Baerdemaeker J. A genetic input selection methodology for identification of the cleaning process on a combine harvester, part 2: selection of relevant input variables for identification of material other than grain (MOG) content in the grain bin. Biosystems Engineering 98 (2007) 297-303
    • (2007) Biosystems Engineering , vol.98 , pp. 297-303
    • Craessaerts, G.1    Saeys, W.2    Missotten, B.3    De Baerdemaeker, J.4
  • 6
    • 50049091150 scopus 로고    scopus 로고
    • Identification of the cleaning process on combine harvesters. Part I: A fuzzy model for prediction of the material other than grain (MOG) content in the grain bin
    • Craessaerts G., Saeys W., Missotten B., and De Baerdemaeker J. Identification of the cleaning process on combine harvesters. Part I: A fuzzy model for prediction of the material other than grain (MOG) content in the grain bin. Biosystems Engineering 101 1 (2008) 42-49
    • (2008) Biosystems Engineering , vol.101 , Issue.1 , pp. 42-49
    • Craessaerts, G.1    Saeys, W.2    Missotten, B.3    De Baerdemaeker, J.4
  • 11
    • 33846921806 scopus 로고    scopus 로고
    • Combination of chemometric tools and image processing for bruise detection on apples
    • Xing J., Saeys W., and De Baerdemaeker J. Combination of chemometric tools and image processing for bruise detection on apples. Computers and Electronics in Agriculture 56 (2007) 1-13
    • (2007) Computers and Electronics in Agriculture , vol.56 , pp. 1-13
    • Xing, J.1    Saeys, W.2    De Baerdemaeker, J.3
  • 12
    • 22444451522 scopus 로고    scopus 로고
    • Bruise detection on 'Jonagold' apples using hyperspectral imaging
    • Xing J., and De Baerdemaeker J. Bruise detection on 'Jonagold' apples using hyperspectral imaging. Postharvest Biology and Technology 37 2 (2005) 152-162
    • (2005) Postharvest Biology and Technology , vol.37 , Issue.2 , pp. 152-162
    • Xing, J.1    De Baerdemaeker, J.2
  • 13
    • 0001107298 scopus 로고
    • Discrimination of wheat and nonwheat components in grain samples by image analysis
    • Zayas I., Pomeranz Y., and Lai F.S. Discrimination of wheat and nonwheat components in grain samples by image analysis. Cereal Chemistry 66 3 (1989) 233-237
    • (1989) Cereal Chemistry , vol.66 , Issue.3 , pp. 233-237
    • Zayas, I.1    Pomeranz, Y.2    Lai, F.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.