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...

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Detalles Bibliográficos
Autores principales: Wang, Shiyong, Khan, Asad, Lin, Ying, Jiang, Zhuo, Tang, Hao, Alomar, Suliman Yousef, Sanaullah, Muhammad, Bhatti, Uzair Aslam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
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

Internet

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

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