SISME, Estuarine Monitoring System Based on IOT and Machine Learning for the Detection of Salt Wedge in Aquifers: Case Study of the Magdalena River Estuary

This article contains methods, results, and analysis agreed for the development of an application based on the internet of things and making use of machine learning techniques that serves as a support for the identification of the saline wedge in the Magdalena River estuary, Colombia. As a result of...

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Veröffentlicht in:Sensors (Basel)
Hauptverfasser: Ariza-Colpas, Paola Patricia, Ayala-Mantilla, Cristian Eduardo, Shaheen, Qaisar, Piñeres-Melo, Marlon Alberto, Villate-Daza, Diego Andrés, Morales-Ortega, Roberto Cesar, De-la-Hoz-Franco, Emiro, Sanchez-Moreno, Hernando, Aziz, Butt Shariq, Afzal, Mehtab
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI 2021
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8036609/
https://ncbi.nlm.nih.gov/pubmed/33805544
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21072374
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