TasselGAN: An Application of the Generative Adversarial Model for Creating Field-Based Maize Tassel Data

Machine learning-based plant phenotyping systems have enabled high-throughput, non-destructive measurements of plant traits. Tasks such as object detection, segmentation, and localization of plant traits in images taken in field conditions need the machine learning models to be developed on training...

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Detalles Bibliográficos
Autores principales: Shete, Snehal, Srinivasan, Srikant, Gonsalves, Timothy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AAAS 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706316/
https://www.ncbi.nlm.nih.gov/pubmed/33313564
http://dx.doi.org/10.34133/2020/8309605

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706316/
https://www.ncbi.nlm.nih.gov/pubmed/33313564
http://dx.doi.org/10.34133/2020/8309605

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