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Wheat Ears Counting in Field Conditions Based on Multi-Feature Optimization and TWSVM
The number of wheat ears in the field is very important data for predicting crop growth and estimating crop yield and as such is receiving ever-increasing research attention. To obtain such data, we propose a novel algorithm that uses computer vision to accurately recognize wheat ears in a digital i...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6053621/ https://www.ncbi.nlm.nih.gov/pubmed/30057587 http://dx.doi.org/10.3389/fpls.2018.01024 |