An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture

A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck in the development of machine learning (ML) applications in any domain. For agricultural applications, ML-based models designed to perform tasks such as autonomous plant classification will typically b...

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Detalles Bibliográficos
Autores principales: Beck, Michael A., Liu, Chen-Yi, Bidinosti, Christopher P., Henry, Christopher J., Godee, Cara M., Ajmani, Manisha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745972/
https://www.ncbi.nlm.nih.gov/pubmed/33332382
http://dx.doi.org/10.1371/journal.pone.0243923

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745972/
https://www.ncbi.nlm.nih.gov/pubmed/33332382
http://dx.doi.org/10.1371/journal.pone.0243923

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