YONATAN 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.2026-07-07http://hdl.handle.net/123456789/519348This 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.13 p.openAccessPatologia de plantaOndas cerebraisEletroencefalogramaImagem digitalAprendizado ativoInteligência artificialElectroencephalogramLabelingActive learningSojaSoybeansDigital imagesPlant pathologyPlant diseases and disordersArtificial intelligenceUsing brainwave patterns recorded from plant pathology experts to increase the reliability of ai-based plant disease recognition system.Artigo de periódico