£112.07

Data Analytics and Artificial Intelligence for Earth Resource Management

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£118.92 £107.91 £110.31 £112.71 £115.12 £117.52 £119.92 01 March 2025 19 May 2025 06 August 2025 24 October 2025 12 January 2026

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40 days 99 days 3 days 115 days · current 15 days 23 days 23 days 0 29 58 86 115 £109 £110 £111 £112 £117 £118 £119 Days at Price

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Price range: £109 - £119

Price levels: 7 different prices over 318 days

Description

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. 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

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 November 2024
Listed Since
17 January 2024

Barcode

No barcode data available

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