Prediction of the Nitrogen Content of Rice Leaf Using Multi-Spectral Images Based on Hybrid Radial Basis Function Neural Network and Partial Least-Squares Regression

This paper’s novel focus is predicting the leaf nitrogen content of rice during growing and maturing. A multispectral image processing-based prediction model of the Radial Basis Function Neural Network (RBFNN) model was proposed. Moreover, this paper depicted three primary points as the following: F...

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Detalles Bibliográficos
Autores principales: Wu, Yawen, Al-Jumaili, Saba J., Al-Jumeily, Dhiya, Bian, Haiyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695716/
https://www.ncbi.nlm.nih.gov/pubmed/36433222
http://dx.doi.org/10.3390/s22228626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695716/
https://www.ncbi.nlm.nih.gov/pubmed/36433222
http://dx.doi.org/10.3390/s22228626

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