Potential of Vis-NIR to measure heavy metals in different varieties of organic-fertilizers using Boruta and deep belief network
The quick identification of heavy metals is of major importance and is beneficial for controlling the fertilizer production process in the fertilizer industries. This work aimed to use visible and near-infrared spectroscopy (Vis-NIR), Boruta, and deep learning to establish rapid heavy metals screeni...
Guardado en:
Autores principales: | Mahamed Lamine Guindo, Muhammad Hilal Kabir, Rongqin Chen, Fei Liu |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/c0243264553c40a0944fe46f6f82ae52 |
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