Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System

Using Brainwave Patterns Recorded from Plant Pathology Experts to Increase the Reliability of AI-Based Plant Disease Recognition System

One of the most challenging problems associated with the development of accurate and reliable application of computer vision and artificial intelligence in agriculture is that, not only are massive amounts of training data usually required, but also, in most cases, the images have to be properly lab...

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Bibliographic Details
Main Authors: Amedi, N. (Author), Barbedo, J.G.A (Author), Geva, A.B (Author), Godoy, C.V (Author), Keren, O. (Author), Meir, Y. (Author), Shalom, Y. (Author)
Format: Article
Language:English
Published: MDPI 2023
Subjects:
active learning
Active Learning
Artificial intelligence
Brain
Brain wave
Digital image
digital images
E-learning
electroencephalogram
Electroencephalography
Image enhancement
Intelligence models
labeling
Labelings
Large dataset
Learning systems
Pathology
Pattern recognition
Plant disease
Plant pathology
Recognition systems
Soybean
soybeans
Training data
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