Sensors applied to Digital Agriculture: A review
Autor(a) principal: | |
---|---|
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=S1806-66902020000500418 |
Resumo: | ABSTRACT Sensors are the basis of digital agriculture; they provide data that allows the development of agricultural control and supervisory systems, and it helps analyze the performance of management practices. Further, sensors can be used to provide data for algorithms developed to automate the prescription of inputs. Among the sensors used in agriculture, those used to monitor soil, plants, and crop yield are reviewed in this work. In soil monitoring, the aim is to measure variables associated with the physical and chemical characteristics of soil to evaluate soil fertility and compaction. In plant monitoring, sensors are used to detect diseases and pests, weed infestation, and nutritional stress. Sensors present in the yield monitors of the harvesters allow the generation of yield maps. Finally, remote sensing techniques for predicting crop yields are analyzed owing to their potential applications in crop management. |
id |
UFC-2_d4cdc9cdaddcaac1f88e8c6c2c089497 |
---|---|
oai_identifier_str |
oai:scielo:S1806-66902020000500418 |
network_acronym_str |
UFC-2 |
network_name_str |
Revista ciência agronômica (Online) |
repository_id_str |
|
spelling |
Sensors applied to Digital Agriculture: A reviewYield monitorSoil sensorsRemote sensingProximal sensorsSensors for crop monitoringABSTRACT Sensors are the basis of digital agriculture; they provide data that allows the development of agricultural control and supervisory systems, and it helps analyze the performance of management practices. Further, sensors can be used to provide data for algorithms developed to automate the prescription of inputs. Among the sensors used in agriculture, those used to monitor soil, plants, and crop yield are reviewed in this work. In soil monitoring, the aim is to measure variables associated with the physical and chemical characteristics of soil to evaluate soil fertility and compaction. In plant monitoring, sensors are used to detect diseases and pests, weed infestation, and nutritional stress. Sensors present in the yield monitors of the harvesters allow the generation of yield maps. Finally, remote sensing techniques for predicting crop yields are analyzed owing to their potential applications in crop management.Universidade Federal do Ceará2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000500418Revista Ciência Agronômica v.51 n.spe 2020reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20200086info:eu-repo/semantics/openAccessQueiroz,Daniel Marçal deCoelho,Andre Luiz de FreitasValente,Domingos Sárvio MagalhãesSchueller,John Kennetheng2021-08-17T00:00:00Zoai:scielo:S1806-66902020000500418Revistahttp://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 |
Sensors applied to Digital Agriculture: A review |
title |
Sensors applied to Digital Agriculture: A review |
spellingShingle |
Sensors applied to Digital Agriculture: A review Queiroz,Daniel Marçal de Yield monitor Soil sensors Remote sensing Proximal sensors Sensors for crop monitoring |
title_short |
Sensors applied to Digital Agriculture: A review |
title_full |
Sensors applied to Digital Agriculture: A review |
title_fullStr |
Sensors applied to Digital Agriculture: A review |
title_full_unstemmed |
Sensors applied to Digital Agriculture: A review |
title_sort |
Sensors applied to Digital Agriculture: A review |
author |
Queiroz,Daniel Marçal de |
author_facet |
Queiroz,Daniel Marçal de Coelho,Andre Luiz de Freitas Valente,Domingos Sárvio Magalhães Schueller,John Kenneth |
author_role |
author |
author2 |
Coelho,Andre Luiz de Freitas Valente,Domingos Sárvio Magalhães Schueller,John Kenneth |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Queiroz,Daniel Marçal de Coelho,Andre Luiz de Freitas Valente,Domingos Sárvio Magalhães Schueller,John Kenneth |
dc.subject.por.fl_str_mv |
Yield monitor Soil sensors Remote sensing Proximal sensors Sensors for crop monitoring |
topic |
Yield monitor Soil sensors Remote sensing Proximal sensors Sensors for crop monitoring |
description |
ABSTRACT Sensors are the basis of digital agriculture; they provide data that allows the development of agricultural control and supervisory systems, and it helps analyze the performance of management practices. Further, sensors can be used to provide data for algorithms developed to automate the prescription of inputs. Among the sensors used in agriculture, those used to monitor soil, plants, and crop yield are reviewed in this work. In soil monitoring, the aim is to measure variables associated with the physical and chemical characteristics of soil to evaluate soil fertility and compaction. In plant monitoring, sensors are used to detect diseases and pests, weed infestation, and nutritional stress. Sensors present in the yield monitors of the harvesters allow the generation of yield maps. Finally, remote sensing techniques for predicting crop yields are analyzed owing to their potential applications in crop management. |
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=S1806-66902020000500418 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902020000500418 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5935/1806-6690.20200086 |
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_ |
1750297490214617088 |