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.
Palabras clave
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
