A Deep Learning Approach for Chromium Detection and Characterization from Soil Hyperspectral Data
High levels of chromium (Cr) in soil pose a significant threat to both humans and the environment. Laboratory-based chemical analysis methods for Cr are time consuming and expensive; thus, there is an urgent need for a more efficient method for detecting Cr in soil. In this study, a deep neural netw...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-05-01
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| coleção: | Toxics |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2305-6304/12/5/357 |
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