Framework for Biological Control with Unmanned Aerial Vehicles.

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dc.contributorBRUNO S. DA SILVA, FEDERAL UNIVERSITY OF PELOTAS
dc.contributorTAUA M. CABREIRA, UNIVERSIDADE FEDERAL DE PELOTAS
dc.contributorBRUNO J. O. DE SOUZA, PONTIFICAL CATHOLIC UNIVERSITY RIO DE JANEIRO
dc.contributorNICHOLAS R. MATIAS
dc.contributorLUCIO ANDRE DE CASTRO JORGE, CNPDIA
dc.contributorPAULO ROBERTO FERREIRA JR., FEDERAL UNIVERSITY OF PELOTAS.
dc.creatorSILVA, B. S. da
dc.creatorCABREIRA, T. M.
dc.creatorDe SOUZA, J. O.
dc.creatorMATIAS. N. R.
dc.creatorMACHADO, R. A. O.
dc.creatorJORGE, L. A. de C.
dc.creatorFERREIRA JR., P. R.
dc.date2023-01-09T15:01:25Z
dc.date2023-01-09T15:01:25Z
dc.date2023-01-09
dc.date2023
dc.date.accessioned2026-07-07T04:29:00Z
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.
dc.format25 - 30
dc.identifierIn: LATIN AMERICAN ROBOTIC SYMPOSIUM, 2022, BRAZILIAN SYMPOSIUM ON ROBOTICS (SBR), WORSHOP ON ROBOTICS IN EDUCATION (WRE), 2022, São Bernardo do Campo, Brazil.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1150794
dc.identifier10.1109/LARS/SBR/WRE56824.2022
dc.identifier.urihttp://hdl.handle.net/123456789/462898
dc.languageeng
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

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