Estimation of wheat tiller density using remote sensing data and machine learning methods

The tiller density is a key agronomic trait of winter wheat that is essential to field management and yield estimation. The traditional method of obtaining the wheat tiller density is based on manual counting, which is inefficient and error prone. In this study, we established machine learning model...

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Detalles Bibliográficos
Autores principales: Hu, Jinkang, Zhang, Bing, Peng, Dailiang, Yu, Ruyi, Liu, Yao, Xiao, Chenchao, Li, Cunjun, Dong, Tao, Fang, Moren, Ye, Huichun, Huang, Wenjiang, Lin, Binbin, Wang, Mengmeng, Cheng, Enhui, Yang, Songlin
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/PMC9810811/
https://www.ncbi.nlm.nih.gov/pubmed/36618628
http://dx.doi.org/10.3389/fpls.2022.1075856

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810811/
https://www.ncbi.nlm.nih.gov/pubmed/36618628
http://dx.doi.org/10.3389/fpls.2022.1075856

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