Discrimination of grapevine (Vitis vinifera L.) leaf shape by fractal spectrum

Vitis

Volumn 41, Issue 3, 2002, Pages 137-142

  Mancuso, S ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Ampelography; Cultivar identification; Fractal spectrum; Shape analysis; Vitis vinifera

Indexed keywords

VITIS VINIFERA;

EID: 0036390690     PISSN: 00427500     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (21)

1. Alleweldt, G.; Dettweiller, E.; 1986: Ampelographic studies to characterize grapevine varietes. 4° Simp. Intern. di Genetica della Vite, Verona. Vignevini 13 (12, suppl.), 56-59
2. Anderson, A. N.; McBratney, A. B.; Fitzpatrick, E. A.; 1996: Soil mass, surface and spectral fractal dimensions estimated from thin section photographs. American Journal of Soil Science Society 60, 962-969.
3. Avnir, D.; Farin, D.; Pfeifer, P.; 1992: A discussion of some aspects of surface fractality and of its determination. New J. Chem. 16, 439-449
4. Cox, B.; L. Wang, J. S. Y.; 1993: Fractal surfaces: Measurement and applications in the earth sciences. Fractals 1, 87-115.
5. Dennis, T. J.; Dessipris, N. G.; 1989: Fractal modelling in image texture analysis. IEEE Proc. 136, 227-235.
6. Horgan, G. W.; 2001: The statistical analysis of plant part appearance - a review. Comp. Electron. Agric. 31, 169-190.
7. Horgan, G. W.; Talbot, M.; Davey, J.; 1995: Plant variety colour assignment using a still video camera. J. Plant Var. Seeds 8, 161-170.
8. Logan, B. E.; Wilkinson, D. B.; 1990: Fractal geometry of marine snow and other biological aggregates. Limnol. Oceanogr. 35, 130-136.
9. Mancuso, S.; 1999 a: Fractal geometry-based image analysis of grapevine leaves using the box counting algorithm. Vitis 38, 97-100.
10. Mancuso, S.; 1999 b: Elliptic Fourier analysis and artificial neural networks for the identification of grapevine (Vitis vinifera L.) genotypes. Vitis 38, 73-77.
11. Mancuso, S.; 2001 a: Clustering of grapevine (Vitis vinifera L.) genotypes with Kohonen neural networks. Vitis 40,59-63.
12. Mancuso, S.; 2001 b: Frattali e reti neurali artificiali. Proc. Accad. Georgofili, Firenze (in press).
13. Mancuso, S.; Ferrini F.; Nicese, F. P.; 1999: Chestnut (Castanea sativa Mill.) genotype identification: An artificial neural network approach. J. Hort. Sci. Biotech. 74, 777-784.
14. Mancuso, S.; Nicese, F. P.; 1999: Identification of olive (Olea europaea L.) varieties using artificial neural networks. J. Am. Soc. Hort. Sci. 124, 527-531.
15. Mancuso, S.; Pisani, P. L.; Bandinelli, R.; Rinaldelli, E.; 1998: Application of an Artificial Neural Network (ANN) for the identification of Vitis vinifera L. genotypes. Vitis 37, 27-32.
16. Mandelbrot, B. B.; 1977: The Fractal Geometry of Nature. W. H. Freeman, New York.
17. Moghaddam, B.; Hintz, K. J.; Stewart, C. V.; 1991: Dimension and lacunarity measurement of IR images using Hilbert scanning. International Society for Optical Engineering (SPIE) Proceedings Series 1486, 115-126.
18. OIV-IBPGR-UPOV; 1983: Code de caractères descriptifs des variétés et espèces de Vitis. Bull. O I V (Off. Int. Vigne Vin), Paris.
19. Rice, S. K.; Collins, D.; Anderson, A. M.; 2001: Functional significance of variation in briophyte canopy structure. Am. J. Bot. 88, 1568-1576.
20. Sensi, E.; Vignani, R.; Rohde, W.; Biricolti, S.; 1996: Characterization of genetic biodiversity with Vitis vinifera L. Sangiovese and Colourino genotypes by AFLP and ISTR DNA marker technology. Vitis 35, 183-188.
21. Smith, T. G.; Lange, G. D.;. Marks, W. B.; 1996. Fractal methods and results in cellular morphology-dimensions, lacunarity and multifractals. J. Neurosci. Methods 69, 126-136.