Active learning with point supervision for cost-effective panicle detection in cereal crops

BACKGROUND: Panicle density of cereal crops such as wheat and sorghum is one of the main components for plant breeders and agronomists in understanding the yield of their crops. To phenotype the panicle density effectively, researchers agree there is a significant need for computer vision-based obje...

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Detalles Bibliográficos
Autores principales: Chandra, Akshay L., Desai, Sai Vikas, Balasubramanian, Vineeth N., Ninomiya, Seishi, Guo, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060654/
https://www.ncbi.nlm.nih.gov/pubmed/32161624
http://dx.doi.org/10.1186/s13007-020-00575-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060654/
https://www.ncbi.nlm.nih.gov/pubmed/32161624
http://dx.doi.org/10.1186/s13007-020-00575-8

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