Deep Learning-Based Phenotyping System With Glocal Description of Plant Anomalies and Symptoms

Recent advances in Deep Neural Networks have allowed the development of efficient and automated diagnosis systems for plant anomalies recognition. Although existing methods have shown promising results, they present several limitations to provide an appropriate characterization of the problem, espec...

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Detalles Bibliográficos
Autores principales: Fuentes, Alvaro, Yoon, Sook, Park, Dong Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868057/
https://www.ncbi.nlm.nih.gov/pubmed/31798598
http://dx.doi.org/10.3389/fpls.2019.01321

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6868057/
https://www.ncbi.nlm.nih.gov/pubmed/31798598
http://dx.doi.org/10.3389/fpls.2019.01321

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