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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
AAAS
2023
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| 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 |