Integration of Payload Sensors to Enhance UAV-Based Spraying

Autores
Barcelos, Celso O.; Fagundes Júnior, Leonardo A.; Mendes, André Luis C.; Gandolfo, Daniel; Brandão, Alexandre S.
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work focuses on the use of load sensors to help with spraying tasks using unmannedaerial vehicles (UAVs). The study details the construction of a prototype for load measurement tovalidate the proof of concept. To simulate the application of agricultural pesticides, the UAV followsa predefined route and an image processing system detects the presence of diseased plants. Afterdetection, the UAV pauses its route momentarily and activates the spraying device. The payloadsensor monitors the fertilizer application process, which determines whether the amount of pesticide has been fully applied. If the storage tank is empty or the remaining quantity is insufficient for another operation, the system will command the UAV to return to the base station for refueling.Experimental validations were carried out in an indoor controlled environment to verify the proposaland the functionality of the in-flight payload monitoring system. Additionally, the UAV’s flightcontroller demonstrated robust performance, maintaining stability despite the challenges posed byliquid-load oscillations and varying payloads during the spraying process. In summary, our maincontribution is a real-time payload monitoring system that monitors weight during flight to avoidover- or under-spraying. In addition, this system supports automatic refueling, detecting low levelsof pesticides and directing the UAV to return to base when necessary.
Fil: Barcelos, Celso O.. Universidade Federal de Viçosa; Brasil
Fil: Fagundes Júnior, Leonardo A.. Universidade Federal de Viçosa; Brasil
Fil: Mendes, André Luis C.. Universidade Federal de Viçosa; Brasil
Fil: Gandolfo, Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Brandão, Alexandre S.. Universidade Federal de Viçosa; Brasil
Materia
PATH FOLLOWING
PAYLOAD MEASUREMENT
LOAD TRANSPORTATION
UAV
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/257393
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Integration of Payload Sensors to Enhance UAV-Based SprayingBarcelos, Celso O.Fagundes Júnior, Leonardo A.Mendes, André Luis C.Gandolfo, DanielBrandão, Alexandre S.PATH FOLLOWINGPAYLOAD MEASUREMENTLOAD TRANSPORTATIONUAVhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This work focuses on the use of load sensors to help with spraying tasks using unmannedaerial vehicles (UAVs). The study details the construction of a prototype for load measurement tovalidate the proof of concept. To simulate the application of agricultural pesticides, the UAV followsa predefined route and an image processing system detects the presence of diseased plants. Afterdetection, the UAV pauses its route momentarily and activates the spraying device. The payloadsensor monitors the fertilizer application process, which determines whether the amount of pesticide has been fully applied. If the storage tank is empty or the remaining quantity is insufficient for another operation, the system will command the UAV to return to the base station for refueling.Experimental validations were carried out in an indoor controlled environment to verify the proposaland the functionality of the in-flight payload monitoring system. Additionally, the UAV’s flightcontroller demonstrated robust performance, maintaining stability despite the challenges posed byliquid-load oscillations and varying payloads during the spraying process. In summary, our maincontribution is a real-time payload monitoring system that monitors weight during flight to avoidover- or under-spraying. In addition, this system supports automatic refueling, detecting low levelsof pesticides and directing the UAV to return to base when necessary.Fil: Barcelos, Celso O.. Universidade Federal de Viçosa; BrasilFil: Fagundes Júnior, Leonardo A.. Universidade Federal de Viçosa; BrasilFil: Mendes, André Luis C.. Universidade Federal de Viçosa; BrasilFil: Gandolfo, Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; ArgentinaFil: Brandão, Alexandre S.. Universidade Federal de Viçosa; BrasilMultidisciplinary Digital Publishing Institute2024-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/257393Barcelos, Celso O.; Fagundes Júnior, Leonardo A.; Mendes, André Luis C.; Gandolfo, Daniel; Brandão, Alexandre S.; Integration of Payload Sensors to Enhance UAV-Based Spraying; Multidisciplinary Digital Publishing Institute; Drones; 8; 9; 9-2024; 1-122504-446XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2504-446X/8/9/490info:eu-repo/semantics/altIdentifier/doi/10.3390/drones8090490info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:18:32Zoai:ri.conicet.gov.ar:11336/257393instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:18:32.276CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Integration of Payload Sensors to Enhance UAV-Based Spraying
title Integration of Payload Sensors to Enhance UAV-Based Spraying
spellingShingle Integration of Payload Sensors to Enhance UAV-Based Spraying
Barcelos, Celso O.
PATH FOLLOWING
PAYLOAD MEASUREMENT
LOAD TRANSPORTATION
UAV
title_short Integration of Payload Sensors to Enhance UAV-Based Spraying
title_full Integration of Payload Sensors to Enhance UAV-Based Spraying
title_fullStr Integration of Payload Sensors to Enhance UAV-Based Spraying
title_full_unstemmed Integration of Payload Sensors to Enhance UAV-Based Spraying
title_sort Integration of Payload Sensors to Enhance UAV-Based Spraying
dc.creator.none.fl_str_mv Barcelos, Celso O.
Fagundes Júnior, Leonardo A.
Mendes, André Luis C.
Gandolfo, Daniel
Brandão, Alexandre S.
author Barcelos, Celso O.
author_facet Barcelos, Celso O.
Fagundes Júnior, Leonardo A.
Mendes, André Luis C.
Gandolfo, Daniel
Brandão, Alexandre S.
author_role author
author2 Fagundes Júnior, Leonardo A.
Mendes, André Luis C.
Gandolfo, Daniel
Brandão, Alexandre S.
author2_role author
author
author
author
dc.subject.none.fl_str_mv PATH FOLLOWING
PAYLOAD MEASUREMENT
LOAD TRANSPORTATION
UAV
topic PATH FOLLOWING
PAYLOAD MEASUREMENT
LOAD TRANSPORTATION
UAV
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work focuses on the use of load sensors to help with spraying tasks using unmannedaerial vehicles (UAVs). The study details the construction of a prototype for load measurement tovalidate the proof of concept. To simulate the application of agricultural pesticides, the UAV followsa predefined route and an image processing system detects the presence of diseased plants. Afterdetection, the UAV pauses its route momentarily and activates the spraying device. The payloadsensor monitors the fertilizer application process, which determines whether the amount of pesticide has been fully applied. If the storage tank is empty or the remaining quantity is insufficient for another operation, the system will command the UAV to return to the base station for refueling.Experimental validations were carried out in an indoor controlled environment to verify the proposaland the functionality of the in-flight payload monitoring system. Additionally, the UAV’s flightcontroller demonstrated robust performance, maintaining stability despite the challenges posed byliquid-load oscillations and varying payloads during the spraying process. In summary, our maincontribution is a real-time payload monitoring system that monitors weight during flight to avoidover- or under-spraying. In addition, this system supports automatic refueling, detecting low levelsof pesticides and directing the UAV to return to base when necessary.
Fil: Barcelos, Celso O.. Universidade Federal de Viçosa; Brasil
Fil: Fagundes Júnior, Leonardo A.. Universidade Federal de Viçosa; Brasil
Fil: Mendes, André Luis C.. Universidade Federal de Viçosa; Brasil
Fil: Gandolfo, Daniel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Automática. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Automática; Argentina
Fil: Brandão, Alexandre S.. Universidade Federal de Viçosa; Brasil
description This work focuses on the use of load sensors to help with spraying tasks using unmannedaerial vehicles (UAVs). The study details the construction of a prototype for load measurement tovalidate the proof of concept. To simulate the application of agricultural pesticides, the UAV followsa predefined route and an image processing system detects the presence of diseased plants. Afterdetection, the UAV pauses its route momentarily and activates the spraying device. The payloadsensor monitors the fertilizer application process, which determines whether the amount of pesticide has been fully applied. If the storage tank is empty or the remaining quantity is insufficient for another operation, the system will command the UAV to return to the base station for refueling.Experimental validations were carried out in an indoor controlled environment to verify the proposaland the functionality of the in-flight payload monitoring system. Additionally, the UAV’s flightcontroller demonstrated robust performance, maintaining stability despite the challenges posed byliquid-load oscillations and varying payloads during the spraying process. In summary, our maincontribution is a real-time payload monitoring system that monitors weight during flight to avoidover- or under-spraying. In addition, this system supports automatic refueling, detecting low levelsof pesticides and directing the UAV to return to base when necessary.
publishDate 2024
dc.date.none.fl_str_mv 2024-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/257393
Barcelos, Celso O.; Fagundes Júnior, Leonardo A.; Mendes, André Luis C.; Gandolfo, Daniel; Brandão, Alexandre S.; Integration of Payload Sensors to Enhance UAV-Based Spraying; Multidisciplinary Digital Publishing Institute; Drones; 8; 9; 9-2024; 1-12
2504-446X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/257393
identifier_str_mv Barcelos, Celso O.; Fagundes Júnior, Leonardo A.; Mendes, André Luis C.; Gandolfo, Daniel; Brandão, Alexandre S.; Integration of Payload Sensors to Enhance UAV-Based Spraying; Multidisciplinary Digital Publishing Institute; Drones; 8; 9; 9-2024; 1-12
2504-446X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2504-446X/8/9/490
info:eu-repo/semantics/altIdentifier/doi/10.3390/drones8090490
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846083334118047744
score 13.22299

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