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

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This 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.

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Patologia de planta, Ondas cerebrais, Eletroencefalograma, Imagem digital, Aprendizado ativo, Inteligência artificial, Electroencephalogram, Labeling, Active learning, Soja, Soybeans, Digital images, Plant pathology, Plant diseases and disorders, Artificial intelligence

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