Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.
Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources.
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Data analytics and artificial intelligence in Earth resource management
Data analytics enabled by the Internet of Things and artificial intelligence for the management of Earth’s resources
Data preprocessing techniques for earth resource management
Artificial intelligence for sustainable stewardship of Earth resources
Advancing earth resource management through AI enhanced early warning systems and crisis communication
Artificial intelligence for analytical evaluation of landslide vulnerability
Socioeconomic and environmental impacts analysis for climate resilient Earth resource management
Data analytics for drought vulnerability under climate change scenarios
Natural Language Processing for Earth resource management: a case of H2 Golden Retriever research
Artificial intelligence in efficient management of water resources
Groundwater potential zone evaluations for improving resource management with spatial analysis approach
Future trends in computational data analytics and artificial intelligence for Earth resource management
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A detailed exploration of data analytics and artificial intelligence for effective and sustainable earth resource management
Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management
Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management
Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging
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Produktdetaljer
ISBN
9780443235955
Publisert
2024-11-06
Utgiver
Vendor
Elsevier - Health Sciences Division
Vekt
640 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
308