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Advanced systems for environmental monitoring, IoT and the application of artificial intelligence

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced systems for environmental monitoring, IoT and the application of artificial intelligenceedited by Jamal Mabrouki, Mourade Azrour.
other author:	Mabrouki, Jamal.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xiv, 341 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Environmental monitoringTechnological innovations.
Online resource:	https://doi.org/10.1007/978-3-031-50860-8
ISBN:	9783031508608$q(electronic bk.)

Advanced systems for environmental monitoring, IoT and the application of artificial intelligence
Advanced systems for environmental monitoring, IoT and the application of artificial intelligence[electronic resource] /edited by Jamal Mabrouki, Mourade Azrour. - Cham :Springer Nature Switzerland :2024. - xiv, 341 p. :ill. (chiefly col.), digital ;24 cm. - Studies in big data,v. 1432197-6511 ;. - Studies in big data ;v.1..

Environmental risks put one in six people at risk, as well as our complex ecosystems. Today, IoT sites can monitor the environment and assess risks. Clean technologies can help detect toxic substances, chemical spills, hazardous pollutants, and other issues, enabling both governments and industries to clean or protect the air, land, water, and other environments, and how IoT can support these processes. IoT-enabled environmental intelligence is the constant measurement and collection of our physical environment, through sensors and smart devices. Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities-anywhere on the globe-can record temperature, relative humidity, water content, leaks, and any other physical parameters.

ISBN: 9783031508608$q(electronic bk.)

Standard No.: 10.1007/978-3-031-50860-8doiSubjects--Topical Terms:

975523
Environmental monitoring
--Technological innovations.

LC Class. No.: QH541.15.M64

Dewey Class. No.: 363.7063

Advanced systems for environmental monitoring, IoT and the application of artificial intelligence
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245 0 0 $a Advanced systems for environmental monitoring, IoT and the application of artificial intelligence $h [electronic resource] / $c edited by Jamal Mabrouki, Mourade Azrour.
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300 $a xiv, 341 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6511 ; $v v. 143
520 $a Environmental risks put one in six people at risk, as well as our complex ecosystems. Today, IoT sites can monitor the environment and assess risks. Clean technologies can help detect toxic substances, chemical spills, hazardous pollutants, and other issues, enabling both governments and industries to clean or protect the air, land, water, and other environments, and how IoT can support these processes. IoT-enabled environmental intelligence is the constant measurement and collection of our physical environment, through sensors and smart devices. Integrated sensors in irrigation facilities, water supply systems, pipelines, cisterns, weather stations, ocean, and industrial facilities-anywhere on the globe-can record temperature, relative humidity, water content, leaks, and any other physical parameters.
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