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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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Dettagli Bibliografici
Pubblicato in:Int J Appl Earth Obs Geoinf
Autori principali: Hajeb, Mohammad, Hamzeh, Saeid, Alavipanah, Seyed Kazem, Neissi, Lamya, Verrelst, Jochem
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2023
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7614048/
https://ncbi.nlm.nih.gov/pubmed/36644684
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jag.2022.103168
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