Proposal of a New System for Essential Oil Classification Based on Low-Cost Gas Sensor and Machine Learning Techniques

Essential oils are valuable in various industries, but their easy adulteration can cause adverse health effects. Electronic nasal sensors offer a solution for adulteration detection. This article proposes a new system for characterising essential oils based on low-cost sensor networks and machine le...

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Detalles Bibliográficos
Autores principales: Viciano-Tudela, Sandra, Parra, Lorena, Navarro-Garcia, Paula, Sendra, Sandra, Lloret, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347007/
https://www.ncbi.nlm.nih.gov/pubmed/37447662
http://dx.doi.org/10.3390/s23135812

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10347007/
https://www.ncbi.nlm.nih.gov/pubmed/37447662
http://dx.doi.org/10.3390/s23135812

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