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Sensing technologies for real time monitoring of water quality / Libu Manjakkal, Leandro Lorenzelli, Magnus Willander.

By: Contributor(s): Publisher: Hoboken, New Jersey : Wiley-IEEE Press, 2023Description: xx,360pages : illustrations , 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781119775812
Subject(s): Summary: 'This book covers a complete set of sensing technologies for water and food (aquaculture) quality monitoring, particularly in relation with the real time monitoring. Section I (Data Quality) is devoted to the introduction and developments of various materials and sensors for water quality monitoring. Section II (Data Gathering) describes the various design of electronics, communication system, packaging and innovative deployment strategies used for remote monitoring for water quality in various atmosphere. Section III (Data Analysis) presents diverse techniques for data analysis of the sensors. This includes artificial intelligence (AI), big data technologies, and machine learning techniques for real-time water quality monitoring and evaluation is desirable for future smart cities. Further, the Section IV (Policy and Management) in the book focuses on sustainable environmental and policy issues, including ways to reduce carbon footprint.'-- Provided by publisher.
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Item type Current library Home library Collection Call number Materials specified Copy number Status Date due Barcode
AM PERPUSTAKAAN LINGKUNGAN KEDUA PERPUSTAKAAN LINGKUNGAN KEDUA PAMERAN-P. LINGKUNGAN KEDUA - TD367.M345 3 (Browse shelf(Opens below)) 1 Available 00002262765

Includes index.

'This book covers a complete set of sensing technologies for water and food (aquaculture) quality monitoring, particularly in relation with the real time monitoring. Section I (Data Quality) is devoted to the introduction and developments of various materials and sensors for water quality monitoring. Section II (Data Gathering) describes the various design of electronics, communication system, packaging and innovative deployment strategies used for remote monitoring for water quality in various atmosphere. Section III (Data Analysis) presents diverse techniques for data analysis of the sensors. This includes artificial intelligence (AI), big data technologies, and machine learning techniques for real-time water quality monitoring and evaluation is desirable for future smart cities. Further, the Section IV (Policy and Management) in the book focuses on sustainable environmental and policy issues, including ways to reduce carbon footprint.'-- Provided by publisher.

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