Analysis of Few-Shot Techniques for Fungal Plant Disease Classification and Evaluation of Clustering Capabilities Over Real Datasets

Plant fungal diseases are one of the most important causes of crop yield losses. Therefore, plant disease identification algorithms have been seen as a useful tool to detect them at early stages to mitigate their effects. Although deep-learning based algorithms can achieve high detection accuracies,...

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Detalles Bibliográficos
Autores principales: Egusquiza, Itziar, Picon, Artzai, Irusta, Unai, Bereciartua-Perez, Arantza, Eggers, Till, Klukas, Christian, Aramendi, Elisabete, Navarra-Mestre, Ramon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959904/
https://www.ncbi.nlm.nih.gov/pubmed/35356111
http://dx.doi.org/10.3389/fpls.2022.813237

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959904/
https://www.ncbi.nlm.nih.gov/pubmed/35356111
http://dx.doi.org/10.3389/fpls.2022.813237

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