UAV applications in Agriculture 4.0
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista ciência agronômica (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000500415 |
Resumo: | ABSTRACT Unmanned Aerial Vehicles (UAVs) have potentially significant application in agriculture and, with the emergence of the digital farming era and Agriculture 4.0, this platform has become increasingly important. UAV imagery may improve or even replace routine data surveys, as well as optimize phytosanitary product application. High-spatial resolution imagery makes UAVs attractive for several applications where traditional satellite sensing is still unsuitable. With the significant recent development of data science techniques, UAVs have a prominent position in assisting farmers for more efficient decision-making and automating agricultural processes. Thus, this work addresses the main agricultural applications of UAVs into five major topics: topographic survey, physiological assessments, biophysical assessments, monitoring of biological targets, and spraying of phytosanitary products and application of bio inputs. |
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UAV applications in Agriculture 4.0DronesRPADigital AgriculturePrecision AgricultureRemote SensingABSTRACT Unmanned Aerial Vehicles (UAVs) have potentially significant application in agriculture and, with the emergence of the digital farming era and Agriculture 4.0, this platform has become increasingly important. UAV imagery may improve or even replace routine data surveys, as well as optimize phytosanitary product application. High-spatial resolution imagery makes UAVs attractive for several applications where traditional satellite sensing is still unsuitable. With the significant recent development of data science techniques, UAVs have a prominent position in assisting farmers for more efficient decision-making and automating agricultural processes. Thus, this work addresses the main agricultural applications of UAVs into five major topics: topographic survey, physiological assessments, biophysical assessments, monitoring of biological targets, and spraying of phytosanitary products and application of bio inputs.Universidade Federal do Ceará2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000500415Revista Ciência Agronômica v.51 n.spe 2020reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20200091info:eu-repo/semantics/openAccessAmaral,Lucas Rios doZerbato,CristianoFreitas,Rodrigo Greggio deBarbosa Júnior,Marcelo RodriguesSimões,Isabela Ordine Pires da Silvaeng2021-08-17T00:00:00Zoai:scielo:S1806-66902020000500415Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2021-08-17T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
UAV applications in Agriculture 4.0 |
title |
UAV applications in Agriculture 4.0 |
spellingShingle |
UAV applications in Agriculture 4.0 Amaral,Lucas Rios do Drones RPA Digital Agriculture Precision Agriculture Remote Sensing |
title_short |
UAV applications in Agriculture 4.0 |
title_full |
UAV applications in Agriculture 4.0 |
title_fullStr |
UAV applications in Agriculture 4.0 |
title_full_unstemmed |
UAV applications in Agriculture 4.0 |
title_sort |
UAV applications in Agriculture 4.0 |
author |
Amaral,Lucas Rios do |
author_facet |
Amaral,Lucas Rios do Zerbato,Cristiano Freitas,Rodrigo Greggio de Barbosa Júnior,Marcelo Rodrigues Simões,Isabela Ordine Pires da Silva |
author_role |
author |
author2 |
Zerbato,Cristiano Freitas,Rodrigo Greggio de Barbosa Júnior,Marcelo Rodrigues Simões,Isabela Ordine Pires da Silva |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Amaral,Lucas Rios do Zerbato,Cristiano Freitas,Rodrigo Greggio de Barbosa Júnior,Marcelo Rodrigues Simões,Isabela Ordine Pires da Silva |
dc.subject.por.fl_str_mv |
Drones RPA Digital Agriculture Precision Agriculture Remote Sensing |
topic |
Drones RPA Digital Agriculture Precision Agriculture Remote Sensing |
description |
ABSTRACT Unmanned Aerial Vehicles (UAVs) have potentially significant application in agriculture and, with the emergence of the digital farming era and Agriculture 4.0, this platform has become increasingly important. UAV imagery may improve or even replace routine data surveys, as well as optimize phytosanitary product application. High-spatial resolution imagery makes UAVs attractive for several applications where traditional satellite sensing is still unsuitable. With the significant recent development of data science techniques, UAVs have a prominent position in assisting farmers for more efficient decision-making and automating agricultural processes. Thus, this work addresses the main agricultural applications of UAVs into five major topics: topographic survey, physiological assessments, biophysical assessments, monitoring of biological targets, and spraying of phytosanitary products and application of bio inputs. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
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=S1806-66902020000500415 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000500415 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1806-6690.20200091 |
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 |
Universidade Federal do Ceará |
publisher.none.fl_str_mv |
Universidade Federal do Ceará |
dc.source.none.fl_str_mv |
Revista Ciência Agronômica v.51 n.spe 2020 reponame:Revista ciência agronômica (Online) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Revista ciência agronômica (Online) |
collection |
Revista ciência agronômica (Online) |
repository.name.fl_str_mv |
Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1750297490210422784 |