Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah”
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/25462 |
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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Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah”yield estimationalgorithmprecision viticultureimage analysisVINBOTMestrado em Engenharia de Viticultura e Enologia (Double degree) / Instituto Superior de Agronomia. Universidade de Lisboa / Faculdade de Ciências. Universidade do PortoThe yield estimation provides information that help growers to make decisions in order to optimize crop growth and to organize the harvest operations in field and in the cellar. In most vineyard estates yield is forecasted using manual methods. However, image analysis methods, which are less invasive low cost and more representative are now being developed. The main objective of this work was to estimate yield through data obtained in the frame of Vinbot project during the 2019 season. In this thesis, images of the grapevine variety Syrah taken in the laboratory and in the vineyards of the “Instituto Superior de Agronomia” in Lisbon were analyzed. In the laboratory the images were taken manually with an RGB camera, while in the field vines were imaged either manually and by the Vinbot robot. From these images, the number of visible berries were counted with MATLAB. From the laboratory values, the relationships between the number of visible berries and actual bunch weight and berry number were studied. From the data obtained in the field, it was analyzed the visibility of the berries at different levels of defoliation and the relationship between the area of visible bunches and the visible berries. Berry-by-berry occlusion showed a value of 6.4% at pea-size, 14.5% at veraison and 25% at maturation. In addition, high and significant determination coefficient were obtained between actual yield and visible berries. The comparison of estimated yield, obtained using the regression models with actual yield, showed an underestimation at all the three phonological stages. This low accuracy of the developed models show that the use of algorithms based on visible berry number on the images to estimate yield still needs further researchs.n.Lopes, CarlosNovello, VittorinoRepositório da Universidade de LisboaAttinà, Giorgia2022-09-09T11:49:13Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.5/25462TID:203082087engAttinà, G. - Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah”. Lisboa: ISA, 2021, 72 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:RCAAP2023-03-06T14:55:01Zoai:www.repository.utl.pt:10400.5/25462Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:09:19.803666Repositório 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 |
Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah” |
title |
Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah” |
spellingShingle |
Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah” Attinà, Giorgia yield estimation algorithm precision viticulture image analysis VINBOT |
title_short |
Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah” |
title_full |
Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah” |
title_fullStr |
Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah” |
title_full_unstemmed |
Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah” |
title_sort |
Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah” |
author |
Attinà, Giorgia |
author_facet |
Attinà, Giorgia |
author_role |
author |
dc.contributor.none.fl_str_mv |
Lopes, Carlos Novello, Vittorino Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Attinà, Giorgia |
dc.subject.por.fl_str_mv |
yield estimation algorithm precision viticulture image analysis VINBOT |
topic |
yield estimation algorithm precision viticulture image analysis VINBOT |
description |
Mestrado em Engenharia de Viticultura e Enologia (Double degree) / Instituto Superior de Agronomia. Universidade de Lisboa / Faculdade de Ciências. Universidade do Porto |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2021-01-01T00:00:00Z 2022-09-09T11:49:13Z |
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/10400.5/25462 TID:203082087 |
url |
http://hdl.handle.net/10400.5/25462 |
identifier_str_mv |
TID:203082087 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Attinà, G. - Assessing Berry Number for Grapevine Yield Estimation by Image Analysis: Case Study with the Red Variety “Syrah”. Lisboa: ISA, 2021, 72 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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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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