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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

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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.
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Keywords: BPNN; IMAGE ANALYSIS; PLANT IDENTIFICATION; TAXONOMY

Document Type: Research Article

Affiliations: 1: Department of Horticulture, University of Florence, viale delle Idee 30, 50019 Sesto Fiorentino (FI), Italy 2: Department of Horticulture, University of Florence, viale delle Idee 30, 50019 Sesto Fiorentino (FI), Italy, School of Plant Biology, University of Western Australia, 35 Stirling Highway, Crawley, WA 6907, Australia 3: Department of Horticulture, University of Florence, viale delle Idee 30, 50019 Sesto Fiorentino (FI), Italy;, Email: [email protected] 4: School of Plant Biology, University of Western Australia, 35 Stirling Highway, Crawley, WA 6907, Australia

Publication date: 2009-08-01

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