Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1150794
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorSILVA, B. S. da
dc.contributor.authorCABREIRA, T. M.
dc.contributor.authorDe SOUZA, J. O.
dc.contributor.authorMATIAS. N. R.
dc.contributor.authorMACHADO, R. A. O.
dc.contributor.authorJORGE, L. A. de C.
dc.contributor.authorFERREIRA JR., P. R.
dc.date.accessioned2023-01-09T15:01:25Z-
dc.date.available2023-01-09T15:01:25Z-
dc.date.created2023-01-09
dc.date.issued2023
dc.identifier.citationIn: LATIN AMERICAN ROBOTIC SYMPOSIUM, 2022, BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR), WORSHOP ON ROBOTICS IN EDUCATION (WRE), 2022, São Bernardo do Campo, Brazil.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1150794-
dc.descriptionAgricultural pests and diseases can cause financiallosses on the scale of millions per year and threaten food security.Biological control (BC) is a natural phenomenon to mitigate a particular population of pests, making them less abundant and harmful. The use of Unmanned Aerial Vehicles (UAVs) as a platform to support BC is promising due to the low cost, high efficiency, and wide application range. UAV coverage path planning is necessary to an effective dispersion over an agricultural area. However, in many cases, this planning is carried out empirically by pilots in the field. It is necessary to address several need to be taken into account in the searchfor automation and optimization of coverage route planning forBC using UAVs, such as: identifying the main characteristicsof the coverage area, looking for suitable landing and takeoff points,determining the distance between the parallel line of the coverage trajectory due to the biological agent in use,setting the flight altitude, safely returning to the base, andgenerating ready-to-fly route coverage files. This article presentsa framework and implementation containing a coverage pathplanning algorithm for automating biological control routes considering essential aspects of a real-world scenario. Actual flights using the framework implementation show the efficiency and reliability of the proposed approach.eng
dc.language.isoeng
dc.rightsopenAccess
dc.subjectUAV
dc.subjectRoute planning
dc.subjectCoverage Path Planning
dc.titleFramework for Biological Control with Unmanned Aerial Vehicles.
dc.typeArtigo em anais e proceedings
dc.format.extent225 - 30
riaa.ainfo.id1150794
riaa.ainfo.lastupdate2023-01-09
dc.identifier.doi10.1109/LARS/SBR/WRE56824.2022
dc.contributor.institutionBRUNO S. DA SILVA, FEDERAL UNIVERSITY OF PELOTAS
dc.contributor.institutionTAUA M. CABREIRA, UNIVERSIDADE FEDERAL DE PELOTASeng
dc.contributor.institutionBRUNO J. O. DE SOUZA, PONTIFICAL CATHOLIC UNIVERSITY RIO DE JANEIROeng
dc.contributor.institutionNICHOLAS R. MATIASeng
dc.contributor.institutionLUCIO ANDRE DE CASTRO JORGE, CNPDIAeng
dc.contributor.institutionPAULO ROBERTO FERREIRA JR., FEDERAL UNIVERSITY OF PELOTAS.eng
Aparece nas coleções:Artigo em anais de congresso (CNPDIA)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
P-Framework-for-Biological-Control-with-Unmanned.pdf6.53 MBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace