The relationship between drone speed and the number of flights in RFID tag reading for plant inventory.
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143868 https:// doi.org/10.3390/drones6010002 |
Resumo: | Abstract:Accurate inventory allows for more precise forecasting, including profit projections, easiermonitoring, shorter outages, and fewer delivery interruptions. Moreover, the long hours of physicallabor involved over such a broad area and the effect of inefficiencies could lead to less accurateinventory. Unreliable data and predictions, unannounced stoppages in operations, production delaysand delivery, and a considerable loss of profit can all arise from inaccurate inventory. This paperextends our previous work with drones and RFID by evaluating: the number of flights needed toread all tags deployed in the field, the number of scans per pass, and the optimum drone speed forreading tags. The drone flight plan was divided into eight passes from southwest to northwest andback at a horizontal speed of 2.2, 1.7, and 1.1 m per second (m/s) at a vertically fixed altitude. Theresults showed that speed did not affect the number of new tags scanned (p-value > 0.05). Resultsshowed that 90% of the tags were scanned in less than four trips (eight passes) at 1.7 m/s. Based onthese results, the system can be used for large-scale nursery inventory and other industries that useRFID tags in outdoor environments. We presented two novel measurements on evaluating RFIDreader efficiency by measuring how fast the reader can read and the shortest distance traveled by theRFID reader over tag. |
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The relationship between drone speed and the number of flights in RFID tag reading for plant inventory.Velocidade do droneDronesPrevisãoNúmero de voosSpeedRFIDInventoryForecastInventárioLaborAbstract:Accurate inventory allows for more precise forecasting, including profit projections, easiermonitoring, shorter outages, and fewer delivery interruptions. Moreover, the long hours of physicallabor involved over such a broad area and the effect of inefficiencies could lead to less accurateinventory. Unreliable data and predictions, unannounced stoppages in operations, production delaysand delivery, and a considerable loss of profit can all arise from inaccurate inventory. This paperextends our previous work with drones and RFID by evaluating: the number of flights needed toread all tags deployed in the field, the number of scans per pass, and the optimum drone speed forreading tags. The drone flight plan was divided into eight passes from southwest to northwest andback at a horizontal speed of 2.2, 1.7, and 1.1 m per second (m/s) at a vertically fixed altitude. Theresults showed that speed did not affect the number of new tags scanned (p-value > 0.05). Resultsshowed that 90% of the tags were scanned in less than four trips (eight passes) at 1.7 m/s. Based onthese results, the system can be used for large-scale nursery inventory and other industries that useRFID tags in outdoor environments. We presented two novel measurements on evaluating RFIDreader efficiency by measuring how fast the reader can read and the shortest distance traveled by theRFID reader over tag.Na publicação: Joao Neto Camargo.JANNETTE QUINO, EDISTO RESEARCH AND EDUCATION CENTER; JOE MARI MAJA, CLEMSON UNIVERSITY; JAMES ROBBINS, UNIVERSITY OF ARKANSAS; JAMES OWEN JUNIOR, USDA-ARS APPLICATION TECHNOLOGY RESEARCH UNIT; MATTHEW CHAPPELL, VIRGINIA TECH; JOAO CAMARGO NETO, CNPTIA; THOMAS FERNANDEZ, MICHIGAN STATE UNIVERSITY.QUINO, J.MAJA, J. M.ROBBINS, J.OWEN JUNIOR, J.CHAPPELL, M.CAMARGO NETO, J.FERNANDEZ, T.2022-06-08T20:21:16Z2022-06-08T20:21:16Z2022-06-082022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleDrones, v. 6, n. 1, p. 1-12, 2022.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143868https:// doi.org/10.3390/drones6010002enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2022-06-08T20:21:25Zoai:www.alice.cnptia.embrapa.br:doc/1143868Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-06-08T20:21:25falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-06-08T20:21:25Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
The relationship between drone speed and the number of flights in RFID tag reading for plant inventory. |
title |
The relationship between drone speed and the number of flights in RFID tag reading for plant inventory. |
spellingShingle |
The relationship between drone speed and the number of flights in RFID tag reading for plant inventory. QUINO, J. Velocidade do drone Drones Previsão Número de voos Speed RFID Inventory Forecast Inventário Labor |
title_short |
The relationship between drone speed and the number of flights in RFID tag reading for plant inventory. |
title_full |
The relationship between drone speed and the number of flights in RFID tag reading for plant inventory. |
title_fullStr |
The relationship between drone speed and the number of flights in RFID tag reading for plant inventory. |
title_full_unstemmed |
The relationship between drone speed and the number of flights in RFID tag reading for plant inventory. |
title_sort |
The relationship between drone speed and the number of flights in RFID tag reading for plant inventory. |
author |
QUINO, J. |
author_facet |
QUINO, J. MAJA, J. M. ROBBINS, J. OWEN JUNIOR, J. CHAPPELL, M. CAMARGO NETO, J. FERNANDEZ, T. |
author_role |
author |
author2 |
MAJA, J. M. ROBBINS, J. OWEN JUNIOR, J. CHAPPELL, M. CAMARGO NETO, J. FERNANDEZ, T. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
JANNETTE QUINO, EDISTO RESEARCH AND EDUCATION CENTER; JOE MARI MAJA, CLEMSON UNIVERSITY; JAMES ROBBINS, UNIVERSITY OF ARKANSAS; JAMES OWEN JUNIOR, USDA-ARS APPLICATION TECHNOLOGY RESEARCH UNIT; MATTHEW CHAPPELL, VIRGINIA TECH; JOAO CAMARGO NETO, CNPTIA; THOMAS FERNANDEZ, MICHIGAN STATE UNIVERSITY. |
dc.contributor.author.fl_str_mv |
QUINO, J. MAJA, J. M. ROBBINS, J. OWEN JUNIOR, J. CHAPPELL, M. CAMARGO NETO, J. FERNANDEZ, T. |
dc.subject.por.fl_str_mv |
Velocidade do drone Drones Previsão Número de voos Speed RFID Inventory Forecast Inventário Labor |
topic |
Velocidade do drone Drones Previsão Número de voos Speed RFID Inventory Forecast Inventário Labor |
description |
Abstract:Accurate inventory allows for more precise forecasting, including profit projections, easiermonitoring, shorter outages, and fewer delivery interruptions. Moreover, the long hours of physicallabor involved over such a broad area and the effect of inefficiencies could lead to less accurateinventory. Unreliable data and predictions, unannounced stoppages in operations, production delaysand delivery, and a considerable loss of profit can all arise from inaccurate inventory. This paperextends our previous work with drones and RFID by evaluating: the number of flights needed toread all tags deployed in the field, the number of scans per pass, and the optimum drone speed forreading tags. The drone flight plan was divided into eight passes from southwest to northwest andback at a horizontal speed of 2.2, 1.7, and 1.1 m per second (m/s) at a vertically fixed altitude. Theresults showed that speed did not affect the number of new tags scanned (p-value > 0.05). Resultsshowed that 90% of the tags were scanned in less than four trips (eight passes) at 1.7 m/s. Based onthese results, the system can be used for large-scale nursery inventory and other industries that useRFID tags in outdoor environments. We presented two novel measurements on evaluating RFIDreader efficiency by measuring how fast the reader can read and the shortest distance traveled by theRFID reader over tag. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-08T20:21:16Z 2022-06-08T20:21:16Z 2022-06-08 2022 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Drones, v. 6, n. 1, p. 1-12, 2022. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143868 https:// doi.org/10.3390/drones6010002 |
identifier_str_mv |
Drones, v. 6, n. 1, p. 1-12, 2022. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143868 https:// doi.org/10.3390/drones6010002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
institution |
EMBRAPA |
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Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503524367728640 |