XAI-FruitNet: An explainable deep model for accurate fruit classification

XAI-FruitNet: An explainable deep model for accurate fruit classification

In agricultural technology, precise fruit classification is essential yet challenging due to inherent interclass similarities and intra-class variabilities among fruit species. Despite their impressive performance, traditional deep learning models suffer from a lack of interpretability, which hamper...

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Bibliographic Details
Main Authors: Shirin Sultana, Md All Moon Tasir, S.M. Nuruzzaman Nobel, Md Mohsin Kabir, M.F. Mridha
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Agriculture and Food Research
Subjects:
CNN
Fruit classification XAI model
Interpretability
Hybrid pooling
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154324005118

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http://www.sciencedirect.com/science/article/pii/S2666154324005118

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