Detecting spikes of wheat plants using neural networks with Laws texture energy

BACKGROUND: The spike of a cereal plant is the grain-bearing organ whose physical characteristics are proxy measures of grain yield. The ability to detect and characterise spikes from 2D images of cereal plants, such as wheat, therefore provides vital information on tiller number and yield potential...

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Detalles Bibliográficos
Autores principales: Qiongyan, Li, Cai, Jinhai, Berger, Bettina, Okamoto, Mamoru, Miklavcic, Stanley J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640952/
https://www.ncbi.nlm.nih.gov/pubmed/29046709
http://dx.doi.org/10.1186/s13007-017-0231-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640952/
https://www.ncbi.nlm.nih.gov/pubmed/29046709
http://dx.doi.org/10.1186/s13007-017-0231-1

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