Precision agriculture trends in fruit growing from 2016 to 2020
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista brasileira de fruticultura (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452021000204001 |
Resumo: | Abstract Brazilian fruit culture has a great influence on the social and economic sector in the most diverse regions of the country, generating employment and income in the exercise of its activities. As it is an activity carried out most often in a manual and conventional manner, fruit culture has a great potential for technological growth, especially when adopting the concepts applied by precision agriculture on the crops of grains, fibers and energy, creating a new segment, Precision Fruit Farming. The present work aims to carry out a bibliographic review on the main trends that have emerged in the last five years on Precision Fruit growing, highlighting its future perspectives and the history of technological evolution. 83 articles were analyzed, classified in different perennial cultures and applications, such as machine learning, remote sensing, robotics, using UAV to obtain different vegetation indexes, among others. |
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Precision agriculture trends in fruit growing from 2016 to 2020Machine LearningVegetation IndexesRoboticsRemote sensingUAVAbstract Brazilian fruit culture has a great influence on the social and economic sector in the most diverse regions of the country, generating employment and income in the exercise of its activities. As it is an activity carried out most often in a manual and conventional manner, fruit culture has a great potential for technological growth, especially when adopting the concepts applied by precision agriculture on the crops of grains, fibers and energy, creating a new segment, Precision Fruit Farming. The present work aims to carry out a bibliographic review on the main trends that have emerged in the last five years on Precision Fruit growing, highlighting its future perspectives and the history of technological evolution. 83 articles were analyzed, classified in different perennial cultures and applications, such as machine learning, remote sensing, robotics, using UAV to obtain different vegetation indexes, among others.Sociedade Brasileira de Fruticultura2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452021000204001Revista Brasileira de Fruticultura v.43 n.2 2021reponame:Revista brasileira de fruticultura (Online)instname:Sociedade Brasileira de Fruticultura (SBF)instacron:SBFRU10.1590/0100-29452021096info:eu-repo/semantics/openAccessLara,Lucas MolzGebler,LucianoLeite Júnior,Mirabor JoséSoares,Alencar Lucaseng2021-05-17T00:00:00Zoai:scielo:S0100-29452021000204001Revistahttp://www.scielo.br/rbfhttps://old.scielo.br/oai/scielo-oai.phprbf@fcav.unesp.br||http://rbf.org.br/1806-99670100-2945opendoar:2021-05-17T00:00Revista brasileira de fruticultura (Online) - Sociedade Brasileira de Fruticultura (SBF)false |
dc.title.none.fl_str_mv |
Precision agriculture trends in fruit growing from 2016 to 2020 |
title |
Precision agriculture trends in fruit growing from 2016 to 2020 |
spellingShingle |
Precision agriculture trends in fruit growing from 2016 to 2020 Lara,Lucas Molz Machine Learning Vegetation Indexes Robotics Remote sensing UAV |
title_short |
Precision agriculture trends in fruit growing from 2016 to 2020 |
title_full |
Precision agriculture trends in fruit growing from 2016 to 2020 |
title_fullStr |
Precision agriculture trends in fruit growing from 2016 to 2020 |
title_full_unstemmed |
Precision agriculture trends in fruit growing from 2016 to 2020 |
title_sort |
Precision agriculture trends in fruit growing from 2016 to 2020 |
author |
Lara,Lucas Molz |
author_facet |
Lara,Lucas Molz Gebler,Luciano Leite Júnior,Mirabor José Soares,Alencar Lucas |
author_role |
author |
author2 |
Gebler,Luciano Leite Júnior,Mirabor José Soares,Alencar Lucas |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Lara,Lucas Molz Gebler,Luciano Leite Júnior,Mirabor José Soares,Alencar Lucas |
dc.subject.por.fl_str_mv |
Machine Learning Vegetation Indexes Robotics Remote sensing UAV |
topic |
Machine Learning Vegetation Indexes Robotics Remote sensing UAV |
description |
Abstract Brazilian fruit culture has a great influence on the social and economic sector in the most diverse regions of the country, generating employment and income in the exercise of its activities. As it is an activity carried out most often in a manual and conventional manner, fruit culture has a great potential for technological growth, especially when adopting the concepts applied by precision agriculture on the crops of grains, fibers and energy, creating a new segment, Precision Fruit Farming. The present work aims to carry out a bibliographic review on the main trends that have emerged in the last five years on Precision Fruit growing, highlighting its future perspectives and the history of technological evolution. 83 articles were analyzed, classified in different perennial cultures and applications, such as machine learning, remote sensing, robotics, using UAV to obtain different vegetation indexes, among others. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452021000204001 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452021000204001 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0100-29452021096 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Fruticultura |
publisher.none.fl_str_mv |
Sociedade Brasileira de Fruticultura |
dc.source.none.fl_str_mv |
Revista Brasileira de Fruticultura v.43 n.2 2021 reponame:Revista brasileira de fruticultura (Online) instname:Sociedade Brasileira de Fruticultura (SBF) instacron:SBFRU |
instname_str |
Sociedade Brasileira de Fruticultura (SBF) |
instacron_str |
SBFRU |
institution |
SBFRU |
reponame_str |
Revista brasileira de fruticultura (Online) |
collection |
Revista brasileira de fruticultura (Online) |
repository.name.fl_str_mv |
Revista brasileira de fruticultura (Online) - Sociedade Brasileira de Fruticultura (SBF) |
repository.mail.fl_str_mv |
rbf@fcav.unesp.br||http://rbf.org.br/ |
_version_ |
1752122496488833024 |