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

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Author(s): MEIR, Y.; BARBEDO, J. G. A.; KEREN, O.; GODOY, C. V.; AMEDI, N.; SHALOM, Y.; GEVA, A. B.

Summary: 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.

Publication year: 2023

Types of publication: Journal article

Unit: Embrapa Digital Agriculture

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

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