Artificial Intelligence And Conservation


Artificial Intelligence And Conservation
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Artificial Intelligence And Conservation


Artificial Intelligence And Conservation
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Author : Fei Fang
language : en
Publisher: Cambridge University Press
Release Date : 2019-03-28

Artificial Intelligence And Conservation written by Fei Fang and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-28 with Computers categories.


Explains how artificial intelligence methods can be used to aid conservation of wildlife, forests, coral reefs, rivers, and other natural resources.



Artificial Intelligence For Environmental Conservation


Artificial Intelligence For Environmental Conservation
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Author : Desmond Harper
language : en
Publisher: Independently Published
Release Date : 2023-08-07

Artificial Intelligence For Environmental Conservation written by Desmond Harper and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-07 with categories.


Step into the intriguing world of artificial intelligence for environmental conservation with Desmond Harper's groundbreaking special report: "Artificial Intelligence for Environmental Conservation: Tackling Climate Change". With a passion for making the complexities of AI accessible to every reader, Harper explores the powerful role of AI in combating the pressing issue of climate change. Touted as a compelling guide, this special report takes you on an absorbing journey from the fundamentals of AI to its transformative influence on environmental conservation. Key Features: Unravel the intricate science of AI and unfold its practical applications in a comprehensible manner. Discover how AI transcends its traditional domains and positively impacts climate change mitigation. Understand the importance of AI in climate modelling, pattern prediction, and effective climate change monitoring. Chapters dedicated to the role of AI in wildlife conservation, carbon tracking, sustainable farming, and environmental governance expand the horizon on the synergy of tech and conservation. Lastly, get an insight into how AI in environmental conservation is shaping our present and future, presented in a pragmatic and relatable manner. Inspired by Harper's first-hand experience as a tech enthusiast turned environmental activist, this special report offers a coherent and insightful look into AI capabilities that are reshaping our approach to environmental preservation. Whether a tech novice or a seasoned professional, this read will spark in you a deeper appreciation for the compelling alliance of artificial intelligence and environmental conservation. Pick up your copy today to embark on this enlightening exploration!



Ai For Wildlife Management And Conservation


Ai For Wildlife Management And Conservation
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Author : Barbara Lucas
language : en
Publisher: Independently Published
Release Date : 2023-08-07

Ai For Wildlife Management And Conservation written by Barbara Lucas and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-07 with categories.


'AI for Wildlife Management and Conservation: Tools and Techniques' is a comprehensive exploration of the awe-inspiring convergence of artificial intelligence and wildlife conservation. Authored by Barbara Lucas, a noted eco-academic and technology enthusiast, this report strives to make complex AI topics and techniques accessible and digestible to all, fostering an understanding of how these tools are revolutionizing wildlife protection. Have you ever wondered how data analytics, machine learning, and predictive models can be harnessed to safeguard biodiversity? This report provides your definitive guide. Through real-life examples, case studies, and insights from leading experts, it illuminates the game-changing impact of AI in the field of wildlife management. Know the transformative power of AI tools in monitoring and tracking various species Learn how deep learning aids in species identification and population estimation Discover the role of drone technology and AI in aerial surveillance for wildlife protection Explore ethical considerations in AI-driven wildlife management Future gaze into the evolving trends in AI conservation strategies Whether you're an environmental activist, a tech aficionado, or just a curious reader intrigued by the blend of technology and nature, this Special Report invites you to understand, be inspired, and participate in this revolutionary movement. Barbara Lucas passionately captures the essence of these technologies in an engaging and inspiring manner, driving everyone to grasp the merit of AI in conservation. Together, let's imagine a future where AI sings in harmony with nature's symphony, ushering in a new era of wildlife management and protection.



Watershed Management And Applications Of Ai


Watershed Management And Applications Of Ai
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Author : Sandeep Samantaray
language : en
Publisher: CRC Press
Release Date : 2021-05-16

Watershed Management And Applications Of Ai written by Sandeep Samantaray and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-16 with Technology & Engineering categories.


Land use and water resources are two major environmental issues which necessitate conservation, management, and maintenance practices through the use of various engineering techniques. Water scientists and environmental engineers must address the various aspects of flood control, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary principles of hydrology to provide practical strategies useful for the planning, design, and management of watersheds. The book also synthesizes novel new approaches, such as hydrological applications of machine learning using neural networks to predict runoff and using artificial intelligence for the prediction of groundwater fluctuations. Features: Presents hydrologic analysis and design along with soil conservation practices through proper watershed management techniques Provides analysis of land erosion and sediment transport in watersheds from small to large scale Includes estimations for runoff using different methodologies with systematic approaches for each Discusses water harvesting and development of water yield catchments This book will be a valuable resource for students in hydrology courses, environmental consultants, water resource engineers, and researchers in related water science and engineering fields.



Machine Learning For Ecology And Sustainable Natural Resource Management


Machine Learning For Ecology And Sustainable Natural Resource Management
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Author : Grant Humphries
language : en
Publisher: Springer
Release Date : 2018-11-05

Machine Learning For Ecology And Sustainable Natural Resource Management written by Grant Humphries and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-05 with Science categories.


Ecologists and natural resource managers are charged with making complex management decisions in the face of a rapidly changing environment resulting from climate change, energy development, urban sprawl, invasive species and globalization. Advances in Geographic Information System (GIS) technology, digitization, online data availability, historic legacy datasets, remote sensors and the ability to collect data on animal movements via satellite and GPS have given rise to large, highly complex datasets. These datasets could be utilized for making critical management decisions, but are often “messy” and difficult to interpret. Basic artificial intelligence algorithms (i.e., machine learning) are powerful tools that are shaping the world and must be taken advantage of in the life sciences. In ecology, machine learning algorithms are critical to helping resource managers synthesize information to better understand complex ecological systems. Machine Learning has a wide variety of powerful applications, with three general uses that are of particular interest to ecologists: (1) data exploration to gain system knowledge and generate new hypotheses, (2) predicting ecological patterns in space and time, and (3) pattern recognition for ecological sampling. Machine learning can be used to make predictive assessments even when relationships between variables are poorly understood. When traditional techniques fail to capture the relationship between variables, effective use of machine learning can unearth and capture previously unattainable insights into an ecosystem's complexity. Currently, many ecologists do not utilize machine learning as a part of the scientific process. This volume highlights how machine learning techniques can complement the traditional methodologies currently applied in this field.



Emerging Technologies For Water Supply Conservation And Management


Emerging Technologies For Water Supply Conservation And Management
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Author : Etikala Balaji
language : en
Publisher: Springer Nature
Release Date : 2023-07-25

Emerging Technologies For Water Supply Conservation And Management written by Etikala Balaji and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-25 with Science categories.


This book deals with the role of emerging technologies such as remote sensing and GIS and artificial intelligence/machine learning in water supply, conservation and management for sustainable development. These are low-cost new technologies that address current challenges dealing with large data sets, such as identifying spatial and temporal variations in water quality parameters and contaminants, groundwater potential zones and water supply and management issues. This book is helpful to show the paths of reducing the burden of time and cost and is the alternative options for the conventional practices in water supply, conservation and management. Further, the outcomings of this book are helpful for policy makers, researchers and readers.



Artificial Intelligence For Sustainable Development


Artificial Intelligence For Sustainable Development
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Author : Anandakumar Haldorai
language : en
Publisher: Springer
Release Date : 2024-05-06

Artificial Intelligence For Sustainable Development written by Anandakumar Haldorai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-06 with Technology & Engineering categories.


This book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.



Artificial Intelligence And Modeling For Water Sustainability


Artificial Intelligence And Modeling For Water Sustainability
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Author : Alaa El Din Mahmoud
language : en
Publisher: CRC Press
Release Date : 2023-04-25

Artificial Intelligence And Modeling For Water Sustainability written by Alaa El Din Mahmoud and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-25 with Technology & Engineering categories.


Artificial intelligence and the use of computational methods to extract information from data are providing adequate tools to monitor and predict water pollutants and water quality issues faster and more accurately. Smart sensors and machine learning models help detect and monitor dispersion and leakage of pollutants before they reach groundwater. With contributions from experts in academia and industries, who give a unified treatment of AI methods and their applications in water science, this book help governments, industries, and homeowners not only address water pollution problems more quickly and efficiently, but also gain better insight into the implementation of more effective remedial measures. FEATURES Provides cutting-edge AI applications in water sector. Highlights the environmental models used by experts in different countries. Discusses various types of models using AI and its tools for achieving sustainable development in water and groundwater. Includes case studies and recent research directions for environmental issues in water sector. Addresses future aspects and innovation in AI field related to watersustainability. This book will appeal to scientists, researchers, and undergraduate and graduate students majoring in environmental or computer science and industry professionals in water science and engineering, environmental management, and governmental sectors. It showcases artificial intelligence applications in detecting environmental issues, with an emphasis on the mitigation and conservation of water and underground resources.



Ai In The Wild


Ai In The Wild
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Author : Peter Dauvergne
language : en
Publisher: MIT Press
Release Date : 2020-09-15

Ai In The Wild written by Peter Dauvergne and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-15 with Computers categories.


Examining the potential benefits and risks of using artificial intelligence to advance global sustainability. Drones with night vision are tracking elephant and rhino poachers in African wildlife parks and sanctuaries; smart submersibles are saving coral from carnivorous starfish on Australia's Great Barrier Reef; recycled cell phones alert Brazilian forest rangers to the sound of illegal logging. The tools of artificial intelligence are being increasingly deployed in the battle for global sustainability. And yet, warns Peter Dauvergne, we should be cautious in declaring AI the planet's savior. In AI in the Wild, Dauvergne avoids the AI industry-powered hype and offers a critical view, exploring both the potential benefits and risks of using artificial intelligence to advance global sustainability.



Artificial Intelligence And The Environmental Crisis


Artificial Intelligence And The Environmental Crisis
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Author : Keith Ronald Skene
language : en
Publisher: Routledge
Release Date : 2019-12-19

Artificial Intelligence And The Environmental Crisis written by Keith Ronald Skene and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Computers categories.


A radical and challenging book which argues that artificial intelligence needs a completely different set of foundations, based on ecological intelligence rather than human intelligence, if it is to deliver on the promise of a better world. This can usher in the greatest transformation in human history, an age of re-integration. Our very existence is dependent upon our context within the Earth System, and so, surely, artificial intelligence must also be grounded within this context, embracing emergence, interconnectedness and real-time feedback. We discover many positive outcomes across the societal, economic and environmental arenas and discuss how this transformation can be delivered. Key Features: Identifies a key weakness in current AI thinking, that threatens any hope of a better world. Highlights the importance of realizing that systems theory is an essential foundation for any technology that hopes to positively transform our world. Emphasizes the need for a radical new approach to AI, based on ecological systems. Explains why ecosystem intelligence, not human intelligence, offers the best framework for AI. Examines how this new approach will impact on the three arenas of society, environment and economics, ushering in a new age of re-integration.