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

被引：0

作者：

Mancuso, S ^{[1
]}

Pisani, PL ^{[1
]}

Bandinelli, R ^{[1
]}

Rinaldelli, E ^{[1
]}

机构：

[1] Univ Florence, Dipartimento Ortoflorofrutticoltura, I-50144 Florence, Italy

来源：

VITIS | 1998年 / 37卷 / 01期

关键词：

ampelography; artificial neural networks; cultivar identification; Vitis vinifera L;

D O I：

暂无

中图分类号：

S6 [园艺];

学科分类号：

0902 ;

摘要：

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 of Tuscany. Our results enabled us to distinguish, with considerable certainty, between 9 accessions and to denote three pairs of synonyms. The use of neural networks opens interesting prospects for ampelography; its advantages over traditional ampelographic methods are demonstrated.

引用

页码：27 / 32

页数：6

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