Comparison of different methodologies to estimate bunch compactness

Detalhes bibliográficos
Autor(a) principal: Carmignani, Beatrice
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/25413
Resumo: Mestrado em Engenharia de Viticultura e Enologia (Double Degree) / Instituto Superior de Agronomia. Universidade de Lisboa / Faculdade de Ciências. Universidade do Porto
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spelling Comparison of different methodologies to estimate bunch compactnessbunch traitobjective indicesO.I.V. descriptor 204bunch volumebunch weightMestrado em Engenharia de Viticultura e Enologia (Double Degree) / Instituto Superior de Agronomia. Universidade de Lisboa / Faculdade de Ciências. Universidade do PortoBunch compactness (BC) is a key target for wine sector because it affects disease susceptibility, berry ripening among other grapes characteristics. The most common method to estimate BC is the O.I.V. descriptor n°204: manual and subjective. Objective and automated methods are based on indices, using different relations between bunch traits, some obtained manually and other automatically through image analysis (as example: BW – weight; BV – volume; ML – maximum length; A – projected area; MVO – morphological volume; V3 – derived volume; BN – berries number). All the variables were significantly and positively correlated between each other: the highest Pearson correlation coefficient was between BW and BV (r = 0.99) followed by BW and A (r = 0.95). Fourteen compactness indices (CI) were tested (9 published and 5 created) on 61 Syrah bunches. These indices were then correlated with the mode of the O.I.V. descriptor n°204, where 11 were positively correlated and three were negatively correlated (CI-3, CI-3a, CSF). The index CI-10a, which relates bunch weight and maximum length, was the most suitable one to define BC (r = 0.78). In the frame of the EU VINBOT project, to improve BW estimation finding the best explanatory variables, a stepwise regression analysis between BW and the variables considered easy to extract by automated image analysis (A1 – projected area, V3 – volume 3, BN – berries number and CI-10a as index) was performed. The variable which explained best BW was A1 (partial R2 = 0.905), followed by CI-10a and V3 with a much smaller contribution (partial R2 <0.06 and partial R2<0.007, respectively). The variable BN was not selected by the model. We concluded that BC can be estimated in an objective and automatic way using image analysis. Furthermore, such estimations can enhance BW prediction by using BC as one of the explanatory variables which can improve automatic yield estimation methodologiess.n.Lopes, CarlosNovello, VittorinoRepositório da Universidade de LisboaCarmignani, Beatrice2022-09-07T11:56:37Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.5/25413TID:203083695engCarmignani, B.- Comparison of different methodologies to estimate bunch compactness. Lisboa: ISA, 2019, 71 p.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:54:58Zoai:www.repository.utl.pt:10400.5/25413Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:09:17.605564Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Comparison of different methodologies to estimate bunch compactness
title Comparison of different methodologies to estimate bunch compactness
spellingShingle Comparison of different methodologies to estimate bunch compactness
Carmignani, Beatrice
bunch trait
objective indices
O.I.V. descriptor 204
bunch volume
bunch weight
title_short Comparison of different methodologies to estimate bunch compactness
title_full Comparison of different methodologies to estimate bunch compactness
title_fullStr Comparison of different methodologies to estimate bunch compactness
title_full_unstemmed Comparison of different methodologies to estimate bunch compactness
title_sort Comparison of different methodologies to estimate bunch compactness
author Carmignani, Beatrice
author_facet Carmignani, Beatrice
author_role author
dc.contributor.none.fl_str_mv Lopes, Carlos
Novello, Vittorino
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Carmignani, Beatrice
dc.subject.por.fl_str_mv bunch trait
objective indices
O.I.V. descriptor 204
bunch volume
bunch weight
topic bunch trait
objective indices
O.I.V. descriptor 204
bunch volume
bunch weight
description Mestrado em Engenharia de Viticultura e Enologia (Double Degree) / Instituto Superior de Agronomia. Universidade de Lisboa / Faculdade de Ciências. Universidade do Porto
publishDate 2019
dc.date.none.fl_str_mv 2019
2019-01-01T00:00:00Z
2022-09-07T11:56:37Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/25413
TID:203083695
url http://hdl.handle.net/10400.5/25413
identifier_str_mv TID:203083695
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Carmignani, B.- Comparison of different methodologies to estimate bunch compactness. Lisboa: ISA, 2019, 71 p.
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv s.n.
publisher.none.fl_str_mv s.n.
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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