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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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Bibliographic Details
Published in:PLoS One
Main Authors: Beck, Michael A., Liu, Chen-Yi, Bidinosti, Christopher P., Henry, Christopher J., Godee, Cara M., Ajmani, Manisha
Format: Artigo
Language:Inglês
Published: Public Library of Science 2020
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC7745972/
https://ncbi.nlm.nih.gov/pubmed/33332382
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0243923
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