Prediction of Chlorophyll Content in Multi-Temporal Winter Wheat Based on Multispectral and Machine Learning

To obtain the canopy chlorophyll content of winter wheat in a rapid and non-destructive high-throughput manner, the study was conducted on winter wheat in Xinjiang Manas Experimental Base in 2021, and the multispectral images of two water treatments' normal irrigation (NI) and drought stress (D...

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Detalles Bibliográficos
Autores principales: Wang, Wei, Cheng, Yukun, Ren, Yi, Zhang, Zhihui, Geng, Hongwei
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/PMC9197342/
https://www.ncbi.nlm.nih.gov/pubmed/35712585
http://dx.doi.org/10.3389/fpls.2022.896408

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197342/
https://www.ncbi.nlm.nih.gov/pubmed/35712585
http://dx.doi.org/10.3389/fpls.2022.896408

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