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...

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Detalles Bibliográficos
Autores principales: Fujiwara, Ryo, Nashida, Hiroyuki, Fukushima, Midori, Suzuki, Naoya, Sato, Hiroko, Sanada, Yasuharu, Akiyama, Yukio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
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

Internet

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

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