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Volumn 63, Issue 3, 1996, Pages 229-236

Apple stem and calyx identification with machine vision

Author keywords

[No Author keywords available]

Indexed keywords

CALYX; MALUS X DOMESTICA;

EID: 0000789163     PISSN: 00218634     EISSN: None     Source Type: Journal    
DOI: 10.1006/jaer.1996.0024     Document Type: Article
Times cited : (54)

References (9)
  • 1
    • 0022025922 scopus 로고
    • An algorithm for stem detection using digital image analysis
    • Wolfe R R; Sandler W E An algorithm for stem detection using digital image analysis. Transactions of the ASAE 1985, 28: 641-644
    • (1985) Transactions of the ASAE , vol.28 , pp. 641-644
    • Wolfe, R.R.1    Sandler, W.E.2
  • 3
    • 0027541708 scopus 로고
    • Finding stem and calyx of apples using structured lighting
    • Yang Q Finding stem and calyx of apples using structured lighting. Computers and Electronics in Agriculture 1993, 8: 31-42
    • (1993) Computers and Electronics in Agriculture , vol.8 , pp. 31-42
    • Yang, Q.1
  • 4
    • 0027643570 scopus 로고
    • Classification of apple surface features using machine vision and neural networks
    • Yang Q Classification of apple surface features using machine vision and neural networks. Computers and Electronics in Agriculture 1993, 9: 1-12
    • (1993) Computers and Electronics in Agriculture , vol.9 , pp. 1-12
    • Yang, Q.1
  • 5
    • 0028550738 scopus 로고
    • An approach to apple surface feature detection by machine vision
    • Yang Q An approach to apple surface feature detection by machine vision. Computers and Electronics in Agriculture 1994, 11: 249-264
    • (1994) Computers and Electronics in Agriculture , vol.11 , pp. 249-264
    • Yang, Q.1
  • 8
    • 0001031887 scopus 로고
    • An adaptive training algorithm for back propagation networks
    • Chan L W; Fallside F An adaptive training algorithm for back propagation networks. Computer Speech and Language 1987, 2: 205-218
    • (1987) Computer Speech and Language , vol.2 , pp. 205-218
    • Chan, L.W.1    Fallside, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.