IoT-enabled groundwater monitoring with k-NN-SVM algorithm for sustainable water management

Groundwater is a critical resource for sustaining agriculture, industry, and human life. However, overexploitation and contamination of groundwater resources have led to significant environmental and socio-economic challenges. To address these challenges, there is a need for effective groundwater ma...

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Veröffentlicht in:	Acta geophysica 2024-08, Vol.72 (4), p.2715-2728
Hauptverfasser:	Prabu, Ramachandran Thandaiah, Sarkar, Manash, Chaudhary, Dhruva, Al Obaid, Sami, Al-ateeq, Talal Khalid, Kalam, Md Abul
Format:	Artikel
Sprache:	eng
Schlagworte:	Agriculture Algorithms Clustering Earth and Environmental Science Earth Sciences Flow rates Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Groundwater Groundwater availability Groundwater data Groundwater levels Groundwater management Groundwater pollution Groundwater quality Groundwater resources Hydrologic data Internet of Things K-nearest neighbors algorithm Machine learning Monitoring Monitoring systems Overexploitation Research Article - Hydrology and Hydraulics Structural Geology Support vector machines Sustainability management Sustainable use Water management Water monitoring Water resources Water use
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