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Deep reinforcement learning enables adaptive-image augmentation for automated optical inspection of plant rust
This study proposes an adaptive image augmentation scheme using deep reinforcement learning (DRL) to improve the performance of a deep learning-based automated optical inspection system. The study addresses the challenge of inconsistency in the performance of single image augmentation methods. It in...
| 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/PMC10360175/ https://www.ncbi.nlm.nih.gov/pubmed/37484461 http://dx.doi.org/10.3389/fpls.2023.1142957 |