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Volumn 1821, Issue , 2000, Pages 543-548

Improving peanut maturity prediction using a hybrid artificial neural network and fuzzy inference system

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EID: 84957882320     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45049-1_64     Document Type: Conference Paper
Times cited : (1)

References (11)
  • 1
    • 0024589976 scopus 로고
    • Interrelationship of kernel water activity, soil temperature, maturity, and phytoalexin production in preharvest aflatoxin contamination of drought-stressed peanuts
    • Dorner, J.W., R.J. Cole, T.H. Sanders and P.D. Blankenship. (1989) Interrelationship of kernel water activity, soil temperature, maturity, and phytoalexin production in preharvest aflatoxin contamination of drought-stressed peanuts. Mycopathologia. 105(2): 117-128.
    • (1989) Mycopathologia , vol.105 , Issue.2 , pp. 117-128
    • Dorner, J.W.1    Cole, R.J.2    Sanders, T.H.3    Blankenship, P.D.4
  • 2
    • 15444342866 scopus 로고
    • Flavor-maturity relationship of florunner peanuts
    • Sanders, T.H.; J.R. Vercellott, and G.V. Giville. (1987) Flavor-maturity relationship of florunner peanuts. APRES. 19: 42.
    • (1987) APRES , vol.19 , pp. 42
    • Sanders, T.H.1    Vercellott, J.R.2    Giville, G.V.3
  • 3
    • 0000301620 scopus 로고
    • A non-destructive method for determining peanut pod maturity
    • Williams, E.J. and J.S. Drexler. (1981) A non-destructive method for determining peanut pod maturity. Peanut Science. 8: 134-141.
    • (1981) Peanut Science , vol.8 , pp. 134-141
    • Williams, E.J.1    Drexler, J.S.2
  • 7
    • 84957924847 scopus 로고    scopus 로고
    • Predicting Peanut Maturity with NMR - An Artificial Neural Network Approach
    • (Accepted)
    • Boudolf V. A. III, E. W. Tollner, and R. W. McClendon. (1999) Predicting Peanut Maturity with NMR - An Artificial Neural Network Approach. Transactions of the ASAE (Accepted).
    • (1999) Transactions of the ASAE
    • Boudolf, V.1    Tollner, E.W.2    McClendon, R.W.3
  • 9
    • 84957924849 scopus 로고    scopus 로고
    • The Language of Technical Computing, Version 5.3(1984-1999) The Mathworks, Inc
    • MatLab: The Language of Technical Computing, Version 5.3. (1984-1999) The Mathworks, Inc.
  • 11
    • 84957924850 scopus 로고    scopus 로고
    • Integration of Advanced Statistical Methods and Artificial Neural Networks for Food Quality Analysis and Prediction
    • Paper No. 99134. ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659 USA
    • Huang, Y., R.E. Lacey, and A.D. Whittaker. “Integration of Advanced Statistical Methods and Artificial Neural Networks for Food Quality Analysis and Prediction.” Presented at the July 1999 ASAE/CSAE-SGCR Annual International Meeting, Paper No. 99134. ASAE, 2950 Niles Road, St. Joseph, MI 49085-9659 USA.
    • Presented at the July 1999 ASAE/CSAE-SGCR Annual International Meeting
    • Huang, Y.1    Lacey, R.E.2    Whittaker, A.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.