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...

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Detalles Bibliográficos
Autores principales: Zhou, Chengquan, Liang, Dong, Yang, Xiaodong, Yang, Hao, Yue, Jibo, Yang, Guijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Plant Science
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

Internet

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

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