03035nam a22005655i 4500 978-3-031-50860-8 DE-He213 20251030111431.0 cr nn 008mamaa 240219s2024 sz | s |||| 0|eng d 9783031508608 978-3-031-50860-8 10.1007/978-3-031-50860-8 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Advanced Systems for Environmental Monitoring, IoT and the application of Artificial Intelligence [electronic resource] / edited by Jamal Mabrouki, Mourade Azrour. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XIV, 341 p. 94 illus., 88 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Studies in Big Data, 2197-6511 ; 143 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. Engineering Data processing. Environmental management. 59778 Big data. 57216 Computational intelligence. 64052 Data Engineering. 66059 Environmental Management. 59778 Big Data. 57216 Computational Intelligence. 64052 Mabrouki, Jamal. editor. edt http://id.loc.gov/vocabulary/relators/edt 71261 Azrour, Mourade. editor. edt http://id.loc.gov/vocabulary/relators/edt 71262 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031508592 Printed edition: 9783031508615 Printed edition: 9783031508622 Studies in Big Data, 2197-6511 ; 143 68724 https://doi.org/10.1007/978-3-031-50860-8 ZDB-2-INR ZDB-2-SXIT 57706 57706