A mobile application for detecting and monitoring the development stages of wild flowers and plants
Autor(a) principal: | |
---|---|
Data de Publicação: | 2024 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.11/8903 |
Resumo: | Wild flowers and plants appear spontaneously. They form the ecological basis on which life depends. They play a fundamental role in the regeneration of natural life and the balance of ecological systems. However, this irreplaceable natural heritage is at risk of being lost due to human activity and climate change. The work presented in this paper contributes to the conservation effort. It is based on a previous study by the same authors, which identified computer vision as a suitable technological platform for detecting and monitoring the development stages of wild flowers and plants. It describes the process of developing a mobile application that uses YOLOv4 and YOLOv4-tiny convolutional neural networks to detect the stages of development of wild flowers and plants. This application could be used by visitors in a nature park to provide information and raise awareness about the wild flowers and plants they find along the roads and trails. |
id |
RCAP_6c59a702cd305ce554f2289bec00bbb1 |
---|---|
oai_identifier_str |
oai:repositorio.ipcb.pt:10400.11/8903 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
A mobile application for detecting and monitoring the development stages of wild flowers and plantsWild flowers and plantsDevelopment stagesComputer visionConvolutional neural networksYOLOv4YOLOv4-tinyMobile appWild flowers and plants appear spontaneously. They form the ecological basis on which life depends. They play a fundamental role in the regeneration of natural life and the balance of ecological systems. However, this irreplaceable natural heritage is at risk of being lost due to human activity and climate change. The work presented in this paper contributes to the conservation effort. It is based on a previous study by the same authors, which identified computer vision as a suitable technological platform for detecting and monitoring the development stages of wild flowers and plants. It describes the process of developing a mobile application that uses YOLOv4 and YOLOv4-tiny convolutional neural networks to detect the stages of development of wild flowers and plants. This application could be used by visitors in a nature park to provide information and raise awareness about the wild flowers and plants they find along the roads and trails.J.M.L.P.C. and V.N.G.J.S. acknowledge that this work is funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/50008/2020. P.D.G. thanks the support provided by the Center for Mechanical and Aerospace Science and Technologies (C-MAST) under project UIDB/00151/2020. This is within the activities of project Montanha Viva – An intelligent prediction system for decision support in sustainability, project PD21-00009, promoted by PROMOVE program funded by Fundação La Caixa and supported by Fundação para a Ciência e a Tecnologia and BPI.Repositório Científico do Instituto Politécnico de Castelo BrancoVideira, JoãoGaspar, Pedro DinisSoares, Vasco N.G.J.Caldeira, J.M.L.P.2024-02-28T10:12:10Z20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.11/8903engVIDEIRA, João [et al.] (2024) - A mobile application for detecting and monitoring the development stages of wild flowers and plants. Informatica. 48:6, p. 43-58. DOI: https://doi.org/10.31449/inf.v48i6.5645https://doi.org/10.31449/inf.v48i6.5645info: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:RCAAP2024-03-02T01:45:34Zoai:repositorio.ipcb.pt:10400.11/8903Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:11:53.672435Repositório 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 |
A mobile application for detecting and monitoring the development stages of wild flowers and plants |
title |
A mobile application for detecting and monitoring the development stages of wild flowers and plants |
spellingShingle |
A mobile application for detecting and monitoring the development stages of wild flowers and plants Videira, João Wild flowers and plants Development stages Computer vision Convolutional neural networks YOLOv4 YOLOv4-tiny Mobile app |
title_short |
A mobile application for detecting and monitoring the development stages of wild flowers and plants |
title_full |
A mobile application for detecting and monitoring the development stages of wild flowers and plants |
title_fullStr |
A mobile application for detecting and monitoring the development stages of wild flowers and plants |
title_full_unstemmed |
A mobile application for detecting and monitoring the development stages of wild flowers and plants |
title_sort |
A mobile application for detecting and monitoring the development stages of wild flowers and plants |
author |
Videira, João |
author_facet |
Videira, João Gaspar, Pedro Dinis Soares, Vasco N.G.J. Caldeira, J.M.L.P. |
author_role |
author |
author2 |
Gaspar, Pedro Dinis Soares, Vasco N.G.J. Caldeira, J.M.L.P. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico de Castelo Branco |
dc.contributor.author.fl_str_mv |
Videira, João Gaspar, Pedro Dinis Soares, Vasco N.G.J. Caldeira, J.M.L.P. |
dc.subject.por.fl_str_mv |
Wild flowers and plants Development stages Computer vision Convolutional neural networks YOLOv4 YOLOv4-tiny Mobile app |
topic |
Wild flowers and plants Development stages Computer vision Convolutional neural networks YOLOv4 YOLOv4-tiny Mobile app |
description |
Wild flowers and plants appear spontaneously. They form the ecological basis on which life depends. They play a fundamental role in the regeneration of natural life and the balance of ecological systems. However, this irreplaceable natural heritage is at risk of being lost due to human activity and climate change. The work presented in this paper contributes to the conservation effort. It is based on a previous study by the same authors, which identified computer vision as a suitable technological platform for detecting and monitoring the development stages of wild flowers and plants. It describes the process of developing a mobile application that uses YOLOv4 and YOLOv4-tiny convolutional neural networks to detect the stages of development of wild flowers and plants. This application could be used by visitors in a nature park to provide information and raise awareness about the wild flowers and plants they find along the roads and trails. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-02-28T10:12:10Z 2024 2024-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.11/8903 |
url |
http://hdl.handle.net/10400.11/8903 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
VIDEIRA, João [et al.] (2024) - A mobile application for detecting and monitoring the development stages of wild flowers and plants. Informatica. 48:6, p. 43-58. DOI: https://doi.org/10.31449/inf.v48i6.5645 https://doi.org/10.31449/inf.v48i6.5645 |
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.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 |
repository.mail.fl_str_mv |
|
_version_ |
1799137768540995584 |