Open and Cost-Effective Digital Ecosystem for Lake Water Quality Monitoring

In some sectors of the water resources management, the digital revolution process is slowed by some blocking factors such as costs, lack of digital expertise, resistance to change, etc. In addition, in the era of Big Data, many are the sources of information available in this field, but they are oft...

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Bibliographic Details
Main Authors: Daniele Strigaro, Massimiliano Cannata, Fabio Lepori, Camilla Capelli, Andrea Lami, Dario Manca, Silvio Seno
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/17/6684