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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...
Kaydedildi:
| Yayımlandı: | Int J Appl Earth Obs Geoinf |
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| Asıl Yazarlar: | , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2023
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| Konular: | |
| Online Erişim: | 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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