A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study
As a dominant terrestrial ecosystem, forests play a pivotal role, which is substantially challenged by climate extremes. At the same time, the practice of patient science to investigate and understand different intricate climate-driven phenomena is no longer an option. On the other hand, recent tech...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2025-05-01
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| coleção: | Ecological Informatics |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1574954125000238 |
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