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Computational simulation of an agricultural robotic rover for weed control and fallen fruit collection : algorithms for image detection and recognition and systems control, regulation and command

2022Journal article Open access
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dc.contributor.authorRibeiro, João P.L.
dc.contributor.authorGaspar, Pedro Dinis
dc.contributor.authorSoares, V.N.G.J.
dc.contributor.authorCaldeira, J.M.L.P.
dc.date.accessioned2022-03-08T10:52:56Z
dc.date.available2022-03-08T10:52:56Z
dc.date.issued2022
dc.description.abstractThe continuous rise in the world’s population has increased the need for food, resulting in a rise of agricultural holdings to ensure the supply of these goods directly to the populations and indirectly to all processing industries in the food business. This situation has led agriculture to reinvent itself and introduce new technics and tools to ensure tighter control of the crops and increase yields in food production. However, the lack of labor coupled with the evolution of weeds resistant to herbicides created a crisis in agricultural food production. However, with the growing evolution in electronics, automation, and robotics, new paths are emerging to solve these problems. A robotic rover was designed to optimize the tasks of weed control and collection of fallen fruits of an orchard. In weed control, a localized spraying system is proposed, therefore reducing the amount of applied herbicides. With fruit collection, it is possible to direct fallen fruits for animal feeding and possible to reduce microbial activity on the next campaign crops, therefore avoiding damage. This study proposes the simulation of this robotic rover on robotic simulation software. It also proposes the replication of a similar environment of an orchard to generate an algorithm that controls the rover on the tasks of localized spraying and fallen fruit collection. Creating and testing these algorithms by using a robotic simulator speed up and ease the evaluation of different scenarios and hypotheses, with the added benefit of being able to test two tasks simultaneously. This method also allows greater freedom and creativity because there are no concerns about hardware damage. It should also be noted that development costs are very low.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRIBEIRO, João P.L. [et al.] (2022) - Computational simulation of an agricultural robotic rover for weed control and fallen fruit collection : algorithms for image detection and recognition and systems control, regulation and command. Electronics. DOI 10.3390/electronics11050790
dc.identifier.doi10.3390/electronics11050790pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.11/7919
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationFCT—MCTES via project UIDB/00151/2020 (C-MAST)pt_PT
dc.relationFCT/MCTES through national funds and, when applicable, co-funded EU funds under project UIDB/50008/2020pt_PT
dc.subjectagriculturept_PT
dc.subjectroboticspt_PT
dc.subjectrobotic simulatorspt_PT
dc.subjectrobotic roverpt_PT
dc.subjectcontrolled sprayingpt_PT
dc.subjectweed controlpt_PT
dc.subjectfruit collectionpt_PT
dc.titleComputational simulation of an agricultural robotic rover for weed control and fallen fruit collection : algorithms for image detection and recognition and systems control, regulation and commandpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue5pt_PT
oaire.citation.startPage790pt_PT
oaire.citation.titleElectronicspt_PT
oaire.citation.volume11pt_PT
person.familyNameGaspar
person.familyNameCaldeira
person.givenNamePedro Dinis
person.givenNameJoão
person.identifiera4GD8aoAAAAJ
person.identifier.ciencia-id6111-9F05-2916
person.identifier.ciencia-id5B19-E130-E382
person.identifier.ciencia-idA91B-85B8-C27E
person.identifier.orcid0000-0003-1691-1709
person.identifier.orcid0000-0002-8057-5474
person.identifier.orcid0000-0001-5830-3790
person.identifier.ridN-3016-2013
person.identifier.scopus-author-id57419570900
person.identifier.scopus-author-id27067580500
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublicationa17d4ff5-1ff3-4dcc-b180-319e7ff3961d
relation.isAuthorOfPublication8eebc97c-5334-4f29-b7ee-71c4c436aa69
relation.isAuthorOfPublication.latestForDiscoverya17d4ff5-1ff3-4dcc-b180-319e7ff3961d

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