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Volumn 2, Issue 3, 2008, Pages 161-167

Determining optimal wavebands using genetic algorithm for detection of internal insect infestation in tart cherry

Author keywords

Detection; Genetic algorithm; Insect; Multispectral; Wavebands selection

Indexed keywords

CLASSIFICATION ACCURACIES; DETECTION; FOOD QUALITY; FUTURE WORK; GENETIC ALGORITHM; GENETIC ALGORITHM (GA); HYPER-SPECTRAL; INSECT; INSECT INFESTATIONS; MULTI-SPECTRAL IMAGING; MULTISPECTRAL; REFLECTANCE SPECTRUM; SPECTRAL DATA; STOCHASTIC NATURE; TRANSMITTANCE IMAGES; VARIABLE SELECTION; VISIBLE WAVELENGTHS; VISION SYSTEMS; WAVEBANDS; WAVEBANDS SELECTION; WAVELENGTH REGIONS;

EID: 77955512835     PISSN: 19327587     EISSN: 19329954     Source Type: Journal    
DOI: 10.1007/s11694-008-9047-z     Document Type: Article
Times cited : (53)

References (22)
  • 1
    • 84864174446 scopus 로고    scopus 로고
    • Plum curculio
    • Accessed in June
    • A.H. Howitt, Plum curculio. Fruit IPM fact sheet. http:// web1.msue.msu.edu/vanburen/plumcurc.htm, Accessed in June 2007
    • (2007) Fruit IPM Fact Sheet
    • Howitt, A.H.1
  • 12
    • 28944447883 scopus 로고    scopus 로고
    • J. Qin, R. Lu, Trans. ASAE 48 (5), 1963-1970 (2005)
    • (2005) Trans. ASAE , vol.48 , Issue.5 , pp. 1963-1970
    • Qin, J.1    Lu, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.