Based on machine learning algorithms for estimating leaf phosphorus concentration of rice using optimized spectral indices and continuous wavelet transform

Remotely estimating leaf phosphorus concentration (LPC) is crucial for fertilization management, crop growth monitoring, and the development of precision agricultural strategy. This study aimed to explore the best prediction model for the LPC of rice (Oryza sativa L.) using machine learning algorith...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Yi, Wang, Teng, Li, Zheng, Wang, Tianli, Cao, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251409/
https://www.ncbi.nlm.nih.gov/pubmed/37304713
http://dx.doi.org/10.3389/fpls.2023.1185915

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10251409/
https://www.ncbi.nlm.nih.gov/pubmed/37304713
http://dx.doi.org/10.3389/fpls.2023.1185915

Ejemplares similares