Geographical Classification of Tannat Wines Based on Support Vector Machines and Feature Selection

Autor: Nattane Luíza Costa, Laura Andrea García Llobodanin, Inar Alves Castro, Rommel Barbosa

Publikováno v: Beverages, Vol 4, Iss 4, p 97 (2018)

Geographical product recognition has become an issue for researchers and food industries. One way to obtain useful information about the fingerprint of wines is by examining that fingerprint’s chemical components. In this paper, we present a data m

Externí odkaz: https://doaj.org/article/a923e641c6e944579f2b3706ce9df993

Finding the most important sensory descriptors to differentiate some Vitis vinifera L. South American wines using support vector machines

Autor: Nattane Luiza da Costa, Rommel M. Barbosa, Laura Andrea García Llobodanin, Inar Alves de Castro

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

The geographical recognition of wines has been extensively attempted based on chemical parameters. However, few studies have used wine sensory properties to characterize wines according to their geographical origin. This paper presents a machine lear

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57a8bdb8d051b474dbd3570b18ffa1d7

Using support vector machines and neural networks to classify merlot wines from south america

Autor: Nattane Luiza da Costa, Inar Alves de Castro, Rommel M. Barbosa, Laura Andrea García Llobodanin

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Information Processing in Agriculture, Vol 6, Iss 2, Pp 265-278 (2019)

Wines with a clear geographical origin are an issue of interest for consumers and food industries. This paper presents a data mining study of Merlot wines from South America to identify the fingerprint of their geographical origin. A group of samples

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c4ffbda36e71e141b48caf70caf3197

Prediction of the functionality of young S outh A merican red wines based on chemical parameters

Autor: Lucia Pereira Barroso, Inar Alves de Castro, Laura Andrea García Llobodanin

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Background and Aims Wine functionality is an emerging parameter that may affect consumers' decision to purchase a wine. Thus, our objective was to classify young South American red wines according to their functionality. Methods and Results Four fact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41e8dc2ee301182563afd935dc26ea57
https://doi.org/10.1111/ajgw.12057