Discrimination and identification of morphotypes of Banksia integrifolia (Proteaceae) by an Artificial Neural Network (ANN), based on morphological and fractal parameters of leaves and flowers

C. Pandolfi, S. Mugnai, G. Messina, E. Masi, S. Mancuso, Kingsley Dixon

    Research output: Contribution to journalArticle

    11 Citations (Scopus)

    Abstract

    An artificial neural network (back propagation neural network) based on morphological and fractal leaf and flower parameters was developed for the characterization of three Banksia integrifolia subspecies and the identification of nine unnamed morphotypes. Results indicated that the network can be effectively and successfully used to discriminate among morphotypes using simple dedicated instruments, such as a PC and an optical scanner. The new method also as a complementary approach to botanical identification, being capable of separating all the tested Banksia integrifolia accessions and of creating associations between the known subspecies and the unnamed accessions.
    Original languageEnglish
    Pages (from-to)925-933
    JournalTaxon
    Volume58
    Issue number3
    Publication statusPublished - 2009

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