Machine learning based on structural and FTIR spectroscopic datasets for seed autoclassification

A single feature set is often unable to effectively classify complex biological samples due to their similar morphology and sizes. This paper proposes a protocol for the fast identification of seed medicinal materials based on micro-structural and infrared spectroscopic characteristics. Three differ...

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Detalles Bibliográficos
Autores principales: Wang, Hanqiu, Rehmetulla, Aybek, Guo, Shanshan, Kong, Xin, Lü, Zhiwei, Guan, Yu, Xu, Cong, Sulaiman, Kaiser, Wei, Gongxiang, Liu, Huiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2022
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004588/
https://www.ncbi.nlm.nih.gov/pubmed/35425064
http://dx.doi.org/10.1039/d2ra00239f

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004588/
https://www.ncbi.nlm.nih.gov/pubmed/35425064
http://dx.doi.org/10.1039/d2ra00239f

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