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Convolutional Neural Network Models Help Effectively Estimate Legume Coverage in Grass-Legume Mixed Swards
Evaluation of the legume proportion in grass-legume mixed swards is necessary for breeding and for cultivation research of forage. For objective and time-efficient estimation of legume proportion, convolutional neural network (CNN) models were trained by fine-tuning the GoogLeNet to estimate the cov...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8787134/ https://www.ncbi.nlm.nih.gov/pubmed/35087545 http://dx.doi.org/10.3389/fpls.2021.763479 |