Poplar’s Waterlogging Resistance Modeling and Evaluating: Exploring and Perfecting the Feasibility of Machine Learning Methods in Plant Science

Floods, as one of the most common disasters in the natural environment, have caused huge losses to human life and property. Predicting the flood resistance of poplar can effectively help researchers select seedlings scientifically and resist floods precisely. Using machine learning algorithms, model...

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Detalles Bibliográficos
Autores principales: Xie, Xuelin, Zhang, Xinye, Shen, Jingfang, Du, Kebing
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/PMC8874143/
https://www.ncbi.nlm.nih.gov/pubmed/35222479
http://dx.doi.org/10.3389/fpls.2022.821365

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874143/
https://www.ncbi.nlm.nih.gov/pubmed/35222479
http://dx.doi.org/10.3389/fpls.2022.821365

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