• DocumentCode
    2646136
  • Title

    A neural network for Opuntia leaf-form recognition

  • Author

    Heymans, Bart C. ; Onema, Joel P. ; Kuti, Joseph O.

  • Author_Institution
    Horticulture Res. Lab., Texas A&I Univ., TX, USA
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    2116
  • Abstract
    A neural network application in the field of botany is presented. The backpropagation paradigm was chosen to distinguish different leaf-forms of the Opuntia species. This approach has been selected because of its merit in separating fuzzy data. Preliminary simulation results indicate that leaf identification by means of artificial neural networks can be achieved
  • Keywords
    biology computing; computerised pattern recognition; neural nets; Opuntia leaf-form recognition; backpropagation paradigm; botany; computerised pattern recognition; leaf identification; neural network; Artificial neural networks; Backpropagation; Character recognition; Crops; Image processing; Laboratories; Neural networks; Robots; Shape; Terminology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170700
  • Filename
    170700
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2646136