Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”

Detalhes bibliográficos
Autor(a) principal: Genuardi, Sergio
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/10400.5/25453
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 Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”algorithmsimage analysisMATLAByield estimationVINBOTMestrado em Engenharia de Viticultura e Enologia (Double degree) / Instituto Superior de Agronomia. Universidade de Lisboa / Faculdade de Ciências. Universidade do PortoYield estimation in recent years is identified as one of more important topics in viticulture because it can lead to more efficiently managed vineyards producing wines of highly quality. Recently, to improve the efficiency of yield estimation, image analysis is becoming an important tool to collect detailed information from the vines regarding the yield. New technologies were developed for yield estimation using a new ground platform, such as VINBOT, using image analysis. This work was done in a vineyard of the “Instituto Superior de Agronomia”, with the aim to estimate the final yield, during the growing cycle 2019 of the variety “Arinto”, using images collected in three different modality: laboratory condition (1), field condition (2) and VINBOT robot. In the every condition, the images were captured with the RGB-D camera. For (1) and (2) the photos were acquired manually through the use of a digital camera placed on a tripod but in the (3) the RGB-D camera was fixed on the VINBOT robot. In this work, the correlation of yield components between field data and images data was evaluated. In addition, throught MATLAB, it was evaluate the number of visible berries in the images and the percentage of visible berries not occluded by leaves and by other berries. Througt the laboratory results was calculate a growth factor of bunches on the periods pea-size and veraison. On the VINBOT analysis the efficacy to estimate the total yield from the number of berries was higher at maturation with a 10% error ratio. The relationship between canopy porosity and exposed berries showed for all the stages high and significant R2 indicating that we can use it to estimate berries occlusion through image analysis. This accuracy makes the proposed methodology ideal for early yield prediction as a very helpful tool for the grape and wine industrys.n.Lopes, CarlosPisciotta, AntoninoRepositório da Universidade de LisboaGenuardi, Sergio2022-09-09T10:12:08Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.5/25453TID:203082010engGenuardi, S. - Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”. Lisboa: ISA, 2021, 56 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:10400.5/25453Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:09:19.387447Repositório 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 white variety “Arinto”
title Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”
spellingShingle Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”
Genuardi, Sergio
algorithms
image analysis
MATLAB
yield estimation
VINBOT
title_short Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”
title_full Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”
title_fullStr Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”
title_full_unstemmed Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”
title_sort Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”
author Genuardi, Sergio
author_facet Genuardi, Sergio
author_role author
dc.contributor.none.fl_str_mv Lopes, Carlos
Pisciotta, Antonino
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Genuardi, Sergio
dc.subject.por.fl_str_mv algorithms
image analysis
MATLAB
yield estimation
VINBOT
topic algorithms
image analysis
MATLAB
yield estimation
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
2022-09-09T10:12:08Z
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/10400.5/25453
TID:203082010
url http://hdl.handle.net/10400.5/25453
identifier_str_mv TID:203082010
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Genuardi, S. - Assessing berry number for grapevine yield estimation by image analysis: case study with the white variety “Arinto”. Lisboa: ISA, 2021, 56 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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