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Beyond Black Boxes: An Ontology Based Vision Framework for Transparent Fruit Disease Detection

Marapperuma, M. J. et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognition
Efficiency and reliability in the timely identification of phytopathogens would help minimize crop loss in agricultural sectors but existing deep learning based methods, although accurate, would require a large annotated dataset and are black-boxed in their operation, thus, restricting flexibility a
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