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Springer - Advanced Systems for Environmental Monitoring, IoT and AI

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Description

Environmental risks currently affect one in six people and threaten our complex ecosystems. This volume from the Studies in Big Data series explores how modern technologies address these urgent challenges. By utilizing IoT sites, it is possible to monitor the environment and assess risks through constant measurement and collection of physical data. Learn how clean technologies detect toxic substances, chemical spills, and hazardous pollutants. This book explains how both governments and industries can use these tools to protect or clean the air, land, and water. It covers the role of IoT-enabled environmental intelligence, which relies on sensors and smart devices to provide real-time data. From integrated sensors in irrigation facilities to large-scale monitoring systems, this text provides insight into how IoT and Artificial Intelligence support environmental protection processes. It is an essential resource for understanding the intersection of big data, smart devices, and ecological safety.

Key Features

Explores how IoT sites monitor the environment to assess and manage various ecological risks.

Details how clean technologies detect chemical spills, toxic substances, and hazardous pollutants.

Provides insight into how governments and industries can protect air, land, and water quality.

Covers IoT-enabled environmental intelligence through constant measurement via sensors and smart devices.

Discusses the application of Artificial Intelligence and Big Data in environmental monitoring systems.

Examines the use of integrated sensors in facilities such as irrigation systems for data collection.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
20 February 2024
Listed Since
17 November 2023

Barcode

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