Using brainwave patterns recorded from plant pathology experts to increase the reliability of ai-based plant disease recognition system.

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dc.contributorYONATAN MEIR, INNEREYE LTD.; JAYME GARCIA ARNAL BARBEDO, CNPTIA; OMRI KEREN, INNEREYE LTD.; CLAUDIA VIEIRA GODOY, CNPSO; NOFAR AMEDI, INNEREYE LTD.; YAAR SHALOM, INNEREYE LTD.; AMIR B. GEVA, INNEREYE LTD., BEN GURION UNIVERSITY.
dc.creatorMEIR, Y.
dc.creatorBARBEDO, J. G. A.
dc.creatorKEREN, O.
dc.creatorGODOY, C. V.
dc.creatorAMEDI, N.
dc.creatorSHALOM, Y.
dc.creatorGEVA, A. B.
dc.date2023-06-26T16:36:19Z
dc.date2023-06-26T16:36:19Z
dc.date2023-04-27
dc.date2023
dc.date.accessioned2026-07-07T11:58:26Z
dc.descriptionThis study investigates how the use of electroencephalograms from plant pathology experts can improve the accuracy and robustness of image-based artificial intelligence models dedicated to plant disease recognition.
dc.format13 p.
dc.identifierSensors, v. 23, n. 9, 4272, 2023.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1153402
dc.identifier10.3390/s23094272
dc.identifier.urihttp://hdl.handle.net/123456789/519348
dc.languageeng
dc.rightsopenAccess
dc.subjectPatologia de planta
dc.subjectOndas cerebrais
dc.subjectEletroencefalograma
dc.subjectImagem digital
dc.subjectAprendizado ativo
dc.subjectInteligência artificial
dc.subjectElectroencephalogram
dc.subjectLabeling
dc.subjectActive learning
dc.subjectSoja
dc.subjectSoybeans
dc.subjectDigital images
dc.subjectPlant pathology
dc.subjectPlant diseases and disorders
dc.subjectArtificial intelligence
dc.titleUsing brainwave patterns recorded from plant pathology experts to increase the reliability of ai-based plant disease recognition system.
dc.typeArtigo de periódico

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