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020 _a9783031508608
_9978-3-031-50860-8
024 7 _a10.1007/978-3-031-50860-8
_2doi
050 4 _aTA345-345.5
072 7 _aUN
_2bicssc
072 7 _aCOM018000
_2bisacsh
072 7 _aUN
_2thema
245 1 0 _aAdvanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence
_h[electronic resource] /
_cedited by Jamal Mabrouki, Mourade Azrour.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIV, 341 p. 94 illus., 88 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aStudies in Big Data,
_x2197-6511 ;
_v143
520 _aEnvironmental 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.
650 0 _aEngineering
_xData processing.
650 0 _aEnvironmental management.
_959778
650 0 _aBig data.
_957216
650 0 _aComputational intelligence.
_964052
650 1 4 _aData Engineering.
_966059
650 2 4 _aEnvironmental Management.
_959778
650 2 4 _aBig Data.
_957216
650 2 4 _aComputational Intelligence.
_964052
700 1 _aMabrouki, Jamal.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_971261
700 1 _aAzrour, Mourade.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_971262
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031508592
776 0 8 _iPrinted edition:
_z9783031508615
776 0 8 _iPrinted edition:
_z9783031508622
830 0 _aStudies in Big Data,
_x2197-6511 ;
_v143
_968724
856 4 0 _uhttps://doi.org/10.1007/978-3-031-50860-8
912 _aZDB-2-INR
912 _aZDB-2-SXIT
999 _c57706
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