Towards Automated Analysis of Grain Spikes in Greenhouse Images Using Neural Network Approaches: A Comparative Investigation of Six Methods

Automated analysis of small and optically variable plant organs, such as grain spikes, is highly demanded in quantitative plant science and breeding. Previous works primarily focused on the detection of prominently visible spikes emerging on the top of the grain plants growing in field conditions. H...

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Detalles Bibliográficos
Autores principales: Ullah, Sajid, Henke, Michael, Narisetti, Narendra, Panzarová, Klára, Trtílek, Martin, Hejatko, Jan, Gladilin, Evgeny
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621358/
https://www.ncbi.nlm.nih.gov/pubmed/34833515
http://dx.doi.org/10.3390/s21227441

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621358/
https://www.ncbi.nlm.nih.gov/pubmed/34833515
http://dx.doi.org/10.3390/s21227441

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