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Volumn 58, Issue 3, 2009, Pages 925-933

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

Author keywords

BPNN; Image analysis; Plant identification; Taxonomy

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; DICOTYLEDON; FLOWER; IDENTIFICATION KEY; IMAGE ANALYSIS; LEAF; MORPHOTYPE; SUBSPECIES; TAXONOMY;

EID: 70349525313     PISSN: 00400262     EISSN: None     Source Type: Journal    
DOI: 10.1002/tax.583020     Document Type: Article
Times cited : (14)

References (34)
  • 3
    • 0032938533 scopus 로고    scopus 로고
    • Genetic diversity in Chaenomeles (Rosaceae) revealed by RAPD analysis
    • Bartish, I.V., Rumpunen, K. & Nybom, H. 1999. Genetic diversity in Chaenomeles (Rosaceae) revealed by RAPD analysis. Pl. Syst. Evol. 214: 131-145.
    • (1999) Pl. Syst. Evol. , vol.214 , pp. 131-145
    • Bartish, I.V.1    Rumpunen, K.2    Nybom, H.3
  • 5
    • 0013435813 scopus 로고
    • Analysis of flow cytometry data-a neural network approach
    • Boddy, L. & Morris, C.W. 1993. Analysis of flow cytometry data-a neural network approach. Binary 5: 17-22.
    • (1993) Binary , vol.5 , pp. 17-22
    • Boddy, L.1    Morris, C.W.2
  • 6
    • 17044384060 scopus 로고    scopus 로고
    • Identification of botanical specimens using artificial neural networks
    • IEEE press, San Diego
    • Clark, J.Y. 2004. Identification of botanical specimens using artificial neural networks. Pp. 87-94 in: Fogel, D. (ed.), Proceedings of the 2004 IEEE Symposium on Computa-tional Intelligence in Bioinformatics and Computational Biology. IEEE press, San Diego.
    • (2004) , pp. 87-94
    • Clark, J.Y.1
  • 7
    • 0032000947 scopus 로고    scopus 로고
    • Artificial keys for botanical identification using a multilayer perceptron neural network (MLP)
    • Clark, J.Y. & Warwick, K. 1998. Artificial keys for botanical identification using a multilayer perceptron neural network (MLP). Artificial Intelligence Rev. 12: 105-115.
    • (1998) Artificial Intelligence Rev , vol.12 , pp. 105-115
    • Clark, J.Y.1    Warwick, K.2
  • 8
    • 0000685332 scopus 로고
    • Classification of red wine cultivars by means of anthocyanin analysis
    • Eder, R., Wendelin, S. & Barna, J. 1994. Classification of red wine cultivars by means of anthocyanin analysis. Mitt. Klosterneuburg 44: 201-212.
    • (1994) Mitt. Klosterneuburg , vol.44 , pp. 201-212
    • Eder, R.1    Wendelin, S.2    Barna, J.3
  • 10
    • 70349540664 scopus 로고    scopus 로고
    • Automated species identification: Why not?
    • Gaston, K.J. & O'Neill, M.A. 2005. Automated species identification: why not? Philos. Trans., Ser. B 35 9: 6 55-677.
    • (2005) Philos. Trans., Ser. B 35 , vol.9 , Issue.6 , pp. 55-677
    • Gaston, K.J.1    O'neill, M.A.2
  • 11
    • 0000416974 scopus 로고
    • The genus Banksia L. f. (Proteaceae)
    • George, A. 1981. The genus Banksia L. f. (Proteaceae). Nuytsia 3: 239-473.
    • (1981) Nuytsia , vol.3 , pp. 239-473
    • George, A.1
  • 13
    • 0032859740 scopus 로고    scopus 로고
    • Fractal geometry-based image analysis of grapevine leaves using the box counting algorithm
    • Mancuso, S. 1999. Fractal geometry-based image analysis of grapevine leaves using the box counting algorithm. Vitis 38: 97-100.
    • (1999) Vitis , vol.38 , pp. 97-100
    • Mancuso, S.1
  • 14
    • 0036390690 scopus 로고    scopus 로고
    • Discrimination of grapevine (Vitis vinifera L.) leaf shape by fractal spectrum
    • Mancuso, S. 2002. Discrimination of grapevine (Vitis vinifera L.) leaf shape by fractal spectrum. Vitis 41: 137-142.
    • (2002) Vitis , vol.41 , pp. 137-142
    • Mancuso, S.1
  • 15
    • 0031918439 scopus 로고    scopus 로고
    • Application of an artificial neural network (ANN) for the identification of grapevine genotypes
    • Mancuso, S., Pisani, P.L., Bandinelli, R. & Rinaldelli, E. 1998. Application of an artificial neural network (ANN) for the identification of grapevine genotypes. Vitis 37: 27-32.
    • (1998) Vitis , vol.37 , pp. 27-32
    • Mancuso, S.1    Pisani, P.L.2    Bandinelli, R.3    Rinaldelli, E.4
  • 16
    • 0032840851 scopus 로고    scopus 로고
    • Identifying olive (Olea europaea L.) cultivars using artificial neural networks
    • Mancuso, S. & Nicese, F.P. 1999. Identifying olive (Olea europaea L.) cultivars using artificial neural networks. J. Amer. Soc. Hort. Sci. 124: 527-531.
    • (1999) J. Amer. Soc. Hort. Sci. , vol.124 , pp. 527-531
    • Mancuso, S.1    Nicese, F.P.2
  • 17
    • 0032743554 scopus 로고    scopus 로고
    • Chestnut (Castanea sativa L.) genotype identification: An artificial neural network approach
    • Mancuso, S. & Nicese, F.P. 1999. Chestnut (Castanea sativa L.) genotype identification: an artificial neural network approach. J. Hort. Sci. Biotechol. 74: 777-784.
    • (1999) J. Hort. Sci. Biotechol. , vol.74 , pp. 777-784
    • Mancuso, S.1    Nicese, F.P.2
  • 18
    • 0141569291 scopus 로고    scopus 로고
    • The fractal spectrum of the leaves as a tool for measuring frost hardiness in plants
    • Mancuso, S., Nicese, F.P. & Azzarello, E. 2003. The fractal spectrum of the leaves as a tool for measuring frost hardiness in plants. J. Hort. Sci. Biotechnol. 78: 610-616.
    • (2003) J. Hort. Sci. Biotechnol. , vol.78 , pp. 610-616
    • Mancuso, S.1    Nicese, F.P.2    Azzarello, E.3
  • 19
    • 3242683600 scopus 로고    scopus 로고
    • Comparing fractal analysis, electrical impedance and electrolyte leak- age for the assessment of cold tolerance in Callistemon and Grevillea spp
    • Mancuso, S., Nicese, F.P. & Azzarello, E. 2004. Comparing fractal analysis, electrical impedance and electrolyte leak- age for the assessment of cold tolerance in Callistemon and Grevillea spp. J. Hort. Sci. Biotechol. 79: 627-632.
    • (2004) J. Hort. Sci. Biotechol. , vol.79 , pp. 627-632
    • Mancuso, S.1    Nicese, F.P.2    Azzarello, E.3
  • 20
    • 0034800502 scopus 로고    scopus 로고
    • Artificial neural networks application in the identification of three species of Rollinia (Annonaceae)
    • Mariño, S.I. & Tressens, S.G. 2001. Artificial neural networks application in the identification of three species of Rollinia (Annonaceae). Ann. Bot. Fenn. 38: 215-224.
    • (2001) Ann. Bot. Fenn. , vol.38 , pp. 215-224
    • Mariño, S.I.1    Tressens, S.G.2
  • 21
    • 0028484517 scopus 로고
    • Neural-network contributions in biotechnology
    • Montague, G. & Morris, J. 1994. Neural-network contribu- tions in biotechnology. Trends Biotechnol. 12: 312-324.
    • (1994) Trends Biotechnol , vol.12 , pp. 312-324
    • Montague, G.1    Morris, J.2
  • 22
    • 38649091047 scopus 로고    scopus 로고
    • Camellia japonica L. genotypes identified by an artificial neural network based on phyllometric and fractal parameters
    • Mugnai, S., Pandolfi, C., Azzarello, E., Masi, E. & Mancuso, S. 2007. Camellia japonica L. genotypes identified by an artificial neural network based on phyllometric and fractal parameters. Pl. Syst. Evol. 270: 95-108.
    • (2007) Pl. Syst. Evol. , vol.270 , pp. 95-108
    • Mugnai, S.1    Pandolfi, C.2    Azzarello, E.3    Masi, E.4    Mancuso, S.5
  • 23
    • 38649142698 scopus 로고    scopus 로고
    • Fractal geometry and neural networks for the iden- tification and characterization of ornamental plants
    • in: Teixiera da Silva, J. (ed.), Global Science Books, Kyoto
    • Pandolfi, C., Mugnai, S., Azzarello, E., Masi, E. & Mancuso, S. 2006. Fractal geometry and neural networks for the iden- tification and characterization of ornamental plants. Pp. 213-225 in: Teixiera da Silva, J. (ed.), Floriculture, Orna- mental and Plant Biotechnology: Advances and Topical Issues, vol. 4. Global Science Books, Kyoto.
    • (2006) Floriculture, Ornamental and Plant Biotechnology: Advances and Topical Issues , vol.4 , pp. 213-225
    • Pandolfi, C.1    Mugnai, S.2    Azzarello, E.3    Masi, E.4    Mancuso, S.5
  • 25
    • 0000646059 scopus 로고
    • Learning internal representations by error propagation
    • in: Rumelhart, D.E. & McClelland, J.L. (eds.), MIT Press, Cambridge
    • Rumelhart, D.E., Hinton, G.E. & Williams, R.J. 1986. Learning internal representations by error propagation. Pp. 213-222 in: Rumelhart, D.E. & McClelland, J.L. (eds.), Parallel Distributing Processing. MIT Press, Cambridge.
    • (1986) Parallel Distributing Processing , pp. 213-222
    • Rumelhart, D.E.1    Hinton, G.E.2    Williams, R.J.3
  • 26
    • 0000383868 scopus 로고
    • Parallel networks that learn to pronounce English text
    • Sejnowski, T.J. & Rosenberg, C. 1987. Parallel networks that learn to pronounce English text. Complex Systems 1: 145-168.
    • (1987) Complex Systems , vol.1 , pp. 145-168
    • Sejnowski, T.J.1    Rosenberg, C.2
  • 27
    • 0000825481 scopus 로고
    • A statistical method for evaluating systematic relationship
    • Sokal, R.R. & Michener, C.D. 1959. A statistical method for evaluating systematic relationship. Univ. Kansas Sci. Bull. 28: 1409-1438.
    • (1959) Univ. Kansas Sci. Bull. , vol.28 , pp. 1409-1438
    • Sokal, R.R.1    Michener, C.D.2
  • 28
    • 84971021874 scopus 로고
    • The Banksia integrifolia L. f. species complex (Proteaceae)
    • Thiele, K. & Ladiges, P.Y. 1994. The Banksia integrifolia L. f. species complex (Proteaceae). Austral. Syst. Bot. 7: 393-408.
    • (1994) Austral. Syst. Bot. , vol.7 , pp. 393-408
    • Thiele, K.1    Ladiges, P.Y.2
  • 30
    • 0030618416 scopus 로고    scopus 로고
    • Image analysis, neural networks, and the taxonomic impediment to biodiversity studies
    • Weeks, P.J.D. & Gaston, K.J. 1997. Image analysis, neural networks, and the taxonomic impediment to biodiversity studies. Biodiv. Cons. 6: 263-274.
    • (1997) Biodiv. Cons. , vol.6 , pp. 263-274
    • Weeks, P.J.D.1    Gaston, K.J.2
  • 31
    • 0033522952 scopus 로고    scopus 로고
    • The fourth dimension of life: Fractal geometry and allometric scaling of organisms
    • West, G.B., Brown, J.H. & Enquist, B.J. 1999. The fourth dimension of life: fractal geometry and allometric scaling of organisms. Science 284: 1677.
    • (1999) Science , vol.284 , pp. 1677
    • West, G.B.1    Brown, J.H.2    Enquist, B.J.3
  • 32
    • 38649089330 scopus 로고    scopus 로고
    • The use of RAPD markers for strawberry identification and genetic diversity studies
    • Żebrowska, J.I. & Tyrka, M. 2003. The use of RAPD markers for strawberry identification and genetic diversity studies. Food Agric. Environm. 1: 115-117.
    • (2003) Food Agric. Environm. , vol.1 , pp. 115-117
    • Żebrowska, J.I.1    Tyrka, M.2
  • 33
    • 33947661455 scopus 로고    scopus 로고
    • A comparative study of multilayer perceptron neural net- works for the identification of rhubarb samples
    • Zhang, Z., Wang, Y., Fan, G. & Harrington P.D.B. 2007. A comparative study of multilayer perceptron neural net- works for the identification of rhubarb samples. Phyto-chem. Anal. 18: 109-114.
    • (2007) Phyto-chem. Anal. , vol.18 , pp. 109-114
    • Zhang, Z.1    Wang, Y.2    Fan, G.3    Harrington, P.D.B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.