Development of an automated system for weather data collection and forecasting climate events by means of radio frequency
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia na Agricultura |
Texto Completo: | https://periodicos.ufv.br/reveng/article/view/9006 |
Resumo: | The weather forecasting method is based on the analysis of data collected to support decision-making. This paper describes the development of a weather station (prototype) to assist in monitoring plantations and forecasting extreme weather events. The strategy adopted is to use a set of stations connected via radiofrequency forming a communications network to better understand and anticipate such events. The weather forecasting method is based on analysis of data collected to support decision making. The laboratory tests were successful, but field tests had several difficulties and unforeseen events that will be described at the end of this paper. |
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oai:ojs.periodicos.ufv.br:article/9006 |
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Engenharia na Agricultura |
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Development of an automated system for weather data collection and forecasting climate events by means of radio frequencyAutomationDecisionForecastMeteorologyRadiofrequencyStationThe weather forecasting method is based on the analysis of data collected to support decision-making. This paper describes the development of a weather station (prototype) to assist in monitoring plantations and forecasting extreme weather events. The strategy adopted is to use a set of stations connected via radiofrequency forming a communications network to better understand and anticipate such events. The weather forecasting method is based on analysis of data collected to support decision making. The laboratory tests were successful, but field tests had several difficulties and unforeseen events that will be described at the end of this paper.Universidade Federal de Viçosa - UFV2020-12-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/900610.13083/reveng.v29i1.9006Engineering in Agriculture; Vol. 28 No. Contínua (2020); 415-424Revista Engenharia na Agricultura - REVENG; v. 28 n. Contínua (2020); 415-4242175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/9006/6230Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENGhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessOba Ramos, Caio CesarRoloff, Mário Lúcio2023-01-19T13:39:06Zoai:ojs.periodicos.ufv.br:article/9006Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:39:06Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Development of an automated system for weather data collection and forecasting climate events by means of radio frequency |
title |
Development of an automated system for weather data collection and forecasting climate events by means of radio frequency |
spellingShingle |
Development of an automated system for weather data collection and forecasting climate events by means of radio frequency Oba Ramos, Caio Cesar Automation Decision Forecast Meteorology Radiofrequency Station |
title_short |
Development of an automated system for weather data collection and forecasting climate events by means of radio frequency |
title_full |
Development of an automated system for weather data collection and forecasting climate events by means of radio frequency |
title_fullStr |
Development of an automated system for weather data collection and forecasting climate events by means of radio frequency |
title_full_unstemmed |
Development of an automated system for weather data collection and forecasting climate events by means of radio frequency |
title_sort |
Development of an automated system for weather data collection and forecasting climate events by means of radio frequency |
author |
Oba Ramos, Caio Cesar |
author_facet |
Oba Ramos, Caio Cesar Roloff, Mário Lúcio |
author_role |
author |
author2 |
Roloff, Mário Lúcio |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Oba Ramos, Caio Cesar Roloff, Mário Lúcio |
dc.subject.por.fl_str_mv |
Automation Decision Forecast Meteorology Radiofrequency Station |
topic |
Automation Decision Forecast Meteorology Radiofrequency Station |
description |
The weather forecasting method is based on the analysis of data collected to support decision-making. This paper describes the development of a weather station (prototype) to assist in monitoring plantations and forecasting extreme weather events. The strategy adopted is to use a set of stations connected via radiofrequency forming a communications network to better understand and anticipate such events. The weather forecasting method is based on analysis of data collected to support decision making. The laboratory tests were successful, but field tests had several difficulties and unforeseen events that will be described at the end of this paper. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/9006 10.13083/reveng.v29i1.9006 |
url |
https://periodicos.ufv.br/reveng/article/view/9006 |
identifier_str_mv |
10.13083/reveng.v29i1.9006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/9006/6230 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENG https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENG https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
Engineering in Agriculture; Vol. 28 No. Contínua (2020); 415-424 Revista Engenharia na Agricultura - REVENG; v. 28 n. Contínua (2020); 415-424 2175-6813 1414-3984 reponame:Engenharia na Agricultura instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Engenharia na Agricultura |
collection |
Engenharia na Agricultura |
repository.name.fl_str_mv |
Engenharia na Agricultura - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br |
_version_ |
1800211147020828672 |