Precision agriculture trends in fruit growing from 2016 to 2020

Detalhes bibliográficos
Autor(a) principal: Lara,Lucas Molz
Data de Publicação: 2021
Outros Autores: Gebler,Luciano, Leite Júnior,Mirabor José, Soares,Alencar Lucas
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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spelling 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
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0100-29452021096
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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)
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