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Inside out: transforming images of lab-grown plants for machine learning applications in agriculture
INTRODUCTION: Machine learning tasks often require a significant amount of training data for the resultant network to perform suitably for a given problem in any domain. In agriculture, dataset sizes are further limited by phenotypical differences between two plants of the same genotype, often as a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358354/ https://www.ncbi.nlm.nih.gov/pubmed/37483870 http://dx.doi.org/10.3389/frai.2023.1200977 |