Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network

Quantifying biophysical and biochemical vegetation variables is of great importance in precision agriculture. Here, the ability of artificial neural networks (ANNs) to generate multiple outputs is exploited to simultaneously retrieve Leaf area index (LAI), leaf sheath moisture (LSM), leaf chlorophyl...

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Detalles Bibliográficos
Autores principales: Hajeb, Mohammad, Hamzeh, Saeid, Alavipanah, Seyed Kazem, Neissi, Lamya, Verrelst, Jochem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614048/
https://www.ncbi.nlm.nih.gov/pubmed/36644684
http://dx.doi.org/10.1016/j.jag.2022.103168

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614048/
https://www.ncbi.nlm.nih.gov/pubmed/36644684
http://dx.doi.org/10.1016/j.jag.2022.103168

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