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Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models

In recent years, deep learning models have become the standard for agricultural computer vision. Such models are typically fine-tuned to agricultural tasks using model weights that were originally fit to more general, non-agricultural datasets. This lack of agriculture-specific fine-tuning potential...

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Detalles Bibliográficos
Autores principales: Joshi, Amogh, Guevara, Dario, Earles, Mason
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10482164/
https://www.ncbi.nlm.nih.gov/pubmed/37680999
http://dx.doi.org/10.34133/plantphenomics.0084