Computational intelligence techniques in earth and environmental sciences

  • Artificial Intelligence in Earth Science - ScienceDirectcom

    AI finds application in a wide array of environmental sectors, which include natural resource conservation, energy management, wildlife protection, pollution control and agriculture, clean energy, and waste management..

  • What are the applications of AI in environmental science?

    AI finds application in a wide array of environmental sectors, which include natural resource conservation, energy management, wildlife protection, pollution control and agriculture, clean energy, and waste management..

  • Why computer science is important in environmental studies as it explains?

    Answer: Environmental science has become increasingly reliant on computer science in recent years.
    This is due to the ability of computer science to model and simulate environmental systems, which is the critical point for understanding how these systems work and how human activity may affect them..

  • AI finds application in a wide array of environmental sectors, which include natural resource conservation, energy management, wildlife protection, pollution control and agriculture, clean energy, and waste management.
  • The primary applications of computational intelligence include robotics, image processing, natural language processing, autonomous navigation, medical diagnosis and fault detection.
    By utilising these approaches, it has become possible for machines to replicate human behaviour more effectively than ever before.
$84.99 In stockBy linking computational intelligence techniques with earth and environmental science oriented problems, this book promotes synergistic activities amongĀ  Table of contentsAbout this bookReviews
$84.99 In stockCompiles a collection of recent developments of computational intelligence techniques in earth and environmental sciences.Table of contentsAbout this bookReviews
Environmental informatics is the science of information applied to environmental science.
As such, it provides the information processing and communication infrastructure to the interdisciplinary field of environmental sciences aiming at data, information and knowledge integration, the application of computational intelligence to environmental data as well as the identification of environmental impacts of information technology.
The UK Natural Environment Research Council defines environmental informatics as the research and system development focusing on the environmental sciences relating to the creation, collection, storage, processing, modelling, interpretation, display and dissemination of data and information. Kostas Karatzas defined environmental informatics as the creation of a new 'knowledge-paradigm' towards serving environmental management needs. Karatzas argued further that environmental informatics is an integrator of science, methods and techniques and not just the result of using information and software technology methods and tools for serving environmental engineering needs.

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