Neural networks were employed to distinguish between 15 accessions of "coloured" (fruit gives intense red colour to the wine) grapevines found in some viticultural zones ofTuscany. Our results enabled us to distinguish, with considerable certainty, between 9 accessions and to denote three pairs ofsynonyms . The use ofneural networks opens interesting prospects for ampelography; its advantages overtraditional ampelographic methods are demonstrated .

Application of an artificial neural network (ANN) for the identification of grapevine genotypes / MANCUSO S.; PISANI P.L.; BANDINELLI R.; RINALDELLI E.. - In: VITIS. - ISSN 0042-7500. - STAMPA. - 37:(1998), pp. 27-32.

Application of an artificial neural network (ANN) for the identification of grapevine genotypes

MANCUSO, STEFANO;PISANI BARBACCIANI, PIERO LUIGI;BANDINELLI, ROBERTO;RINALDELLI, ENRICO
1998

Abstract

Neural networks were employed to distinguish between 15 accessions of "coloured" (fruit gives intense red colour to the wine) grapevines found in some viticultural zones ofTuscany. Our results enabled us to distinguish, with considerable certainty, between 9 accessions and to denote three pairs ofsynonyms . The use ofneural networks opens interesting prospects for ampelography; its advantages overtraditional ampelographic methods are demonstrated .
1998
37
27
32
MANCUSO S.; PISANI P.L.; BANDINELLI R.; RINALDELLI E.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/728725
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