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SheepIT, an E-Shepherd System for Weed Control in Vineyards: Experimental Results and Lessons Learned

2021Journal article Open access
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dc.contributor.authorGonçalves, Pedro
dc.contributor.authorNóbrega, Luís
dc.contributor.authorMonteiro, António
dc.contributor.authorPedreiras, Paulo
dc.contributor.authorRodrigues, P.
dc.contributor.authorEsteves, Fernando
dc.date.accessioned2022-01-11T16:57:36Z
dc.date.available2022-01-11T16:57:36Z
dc.date.issued2021
dc.description.abstractWeed control in vineyards demands regular interventions that currently consist of the use of machinery, such as plows and brush-cutters, and the application of herbicides. These methods have several drawbacks, including cost, chemical pollution, and the emission of greenhouse gases. The use of animals to weed vineyards, usually ovines, is an ancestral, environmentally friendly, and sustainable practice that was abandoned because of the scarcity and cost of shepherds, which were essential for preventing animals from damaging the vines and grapes. The SheepIT project was developed to automate the role of human shepherds, by monitoring and conditioning the behaviour of grazing animals. Additionally, the data collected in real-time can be used for improving the efficiency of the whole process, e.g., by detecting abnormal situations such as health conditions or attacks and manage the weeding areas. This paper presents a comprehensive set of field-test results, obtained with the SheepIT infrastructure, addressing several dimensions, from the animals’ well-being and their impact on the cultures, to technical aspects, such as system autonomy. The results show that the core objectives of the project have been attained and that it is feasible to use this system, at an industrial scale, in vineyards.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGonçalves, P.; Nóbrega, L.; Monteiro, A.; Pedreiras, P.; Rodrigues, P. & Esteves, F. (2021). SheepIT, an E-Shepherd System for Weed Control in Vineyards: Experimental Results and Lessons Learned. Animals, 11(9), 2625. https://doi.org/10.3390/ani11092625pt_PT
dc.identifier.doi10.3390/ani11092625pt_PT
dc.identifier.issn2076-2615
dc.identifier.urihttp://hdl.handle.net/10400.19/6998
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationproject PTDC/EEI-TEL/30685/2017pt_PT
dc.relationCENTRO-01-0145-FEDER-000010pt_PT
dc.relation.publisherversionhttps://www.mdpi.com/2076-2615/11/9/2625pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectSheep vineyard grazingpt_PT
dc.subjectDecision treespt_PT
dc.subjectAnimal conditioningpt_PT
dc.subjectAnimal monitoringpt_PT
dc.subjectAnimal well-beingpt_PT
dc.titleSheepIT, an E-Shepherd System for Weed Control in Vineyards: Experimental Results and Lessons Learnedpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue9pt_PT
oaire.citation.startPage2625pt_PT
oaire.citation.titleAnimalspt_PT
oaire.citation.volume11pt_PT
person.familyNameMonteiro
person.familyNameRodrigues
person.familyNameEsteves
person.givenNameAntónio
person.givenNamePedro
person.givenNameFernando
person.identifier.ciencia-id761A-C658-3BAC
person.identifier.ciencia-id3918-A299-F557
person.identifier.ciencia-id6E19-A3CC-897E
person.identifier.orcid0000-0002-2322-3624
person.identifier.orcid0000-0002-8309-2910
person.identifier.orcid0000-0003-0589-0746
person.identifier.ridW-4256-2017
person.identifier.scopus-author-id7102146080
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication5cea19eb-c964-450a-b3e4-a3b0c2b8d8f7
relation.isAuthorOfPublication9c36529e-a86a-4cfb-b6b7-85f0f7d86a69
relation.isAuthorOfPublication93d688a9-9716-444c-9d08-fdca593d630d
relation.isAuthorOfPublication.latestForDiscovery5cea19eb-c964-450a-b3e4-a3b0c2b8d8f7

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