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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| 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 |