Integrating Domain Knowledge for Enhanced Concept Model Explainability in Plant Disease Classification

Author:

Amara JihenORCID,Samuel SheebaORCID,König-Ries BirgittaORCID

Publisher

Springer Nature Switzerland

Reference34 articles.

1. Plantvillage. www.plantvillage.psu.edu. Accessed 13 Nov 2023

2. Ahmad, A., Saraswat, D., El Gamal, A.: A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools. Smart Agric. Technol. 3, 100083 (2023)

3. Amara, J., Bouaziz, B., Algergawy, A.: A deep learning-based approach for banana leaf diseases classification. Datenbanksysteme für Business, Technologie und Web (BTW 2017)-Workshopband (2017)

4. Amara, J., König-Ries, B., Samuel, S.: Concept explainability for plant diseases classification. In: Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 4: VISAPP, pp. 246–253 (2023)

5. Ammar, H.: Ontology for plant protection. https://sites.google.com/site/ppontology/home (2009)

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