Ai And Machine Learning Techniques For Wildlife Conservation
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Ai And Machine Learning Techniques For Wildlife Conservation
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Author : Raghav, Yogita Yashveer
language : en
Publisher: IGI Global
Release Date : 2025-02-11
Ai And Machine Learning Techniques For Wildlife Conservation written by Raghav, Yogita Yashveer and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Nature categories.
As the world grapples with the alarming rate of biodiversity loss, the potential of cutting-edge technologies, namely machine learning (ML) and artificial intelligence (AI), revolutionize the way we approach wildlife conservation. From sophisticated sensor technologies to innovative AI algorithms, foundational tools driving this paradigm shift provide a comprehensive understanding of their applications in safeguarding biodiversity. The navigation of systems such as the Spatial Monitoring and Reporting Tool (SMART) and advanced animal detection systems can be used to delve into the intricacies of feature extraction and precise identification. This exploration of predictive modeling, data ethics, citizen science, and the integration of satellite data offers a holistic perspective on the dynamic intersection of technology and conservation. AI and Machine Learning Techniques for Wildlife Conservation illustrates the tangible impact of these technologies on addressing pressing conservation challenges and advocates for the engagement of citizen science initiatives with AI. It fosters a collaborative approach to wildlife conservation that leverages the power of technology for a sustainable future. Covering topics including Internet of Things (IoT), satellite data, and predictive ecosystem management, this book is an excellent resource for conservationists, computer scientists, researchers, professionals, academicians, scholars, and more.
Ai And Machine Learning Techniques For Wildlife Conservation
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Author : Aditi Chauhan
language : en
Publisher:
Release Date : 2025
Ai And Machine Learning Techniques For Wildlife Conservation written by Aditi Chauhan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Machine Learning And Internet Of Things In Fire Ecology
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Author : Kaunert, Christian
language : en
Publisher: IGI Global
Release Date : 2024-12-02
Machine Learning And Internet Of Things In Fire Ecology written by Kaunert, Christian and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Technology & Engineering categories.
The destruction of millions of acres of forest land through wildfires is a global cause of concern. Artificial intelligence (AI), transformative in nature, has the potential to transcend and significantly mitigate risk factors of wildfires. AI-driven monitoring systems can detect early signs of wildfire activity, allowing for faster, more targeted responses that can minimize damage and save lives. Machine Learning and Internet of Things in Fire Ecology elucidates and explores the interface of fire ecology with AI, machine learning, and internet of things, as these technologies emerged as a pivotal domain with transformative potential. It will assist environmental-related industries in understanding the paraphernalia and dynamics of the fire ecology ecosystem. Covering topics such as AI, unmanned aerial vehicles (UAVs), and wildlife conservation, this book is an excellent resource for government officials, ecologists, academicians, policymakers, researchers, environmental specialists, industry experts, graduate and postgraduate students, and more.
Artificial Intelligence And Machine Learning For Sustainable Development
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Author : Pawan Whig
language : en
Publisher: CRC Press
Release Date : 2024-12-18
Artificial Intelligence And Machine Learning For Sustainable Development written by Pawan Whig and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Computers categories.
Artificial Intelligence and Machine Learning for Sustainable Development is a comprehensive exploration of how artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing the field of sustainable development. The book examines cutting-edge innovations, practical applications, and potential challenges in harnessing AI and ML to address global sustainability issues. It offers insights into how these technologies can optimize resource management, improve environmental monitoring, enhance decision-making processes, and promote equitable, eco-friendly solutions. This book would be of special interest to researchers, policymakers, and practitioners seeking to leverage cutting-edge technology for a more sustainable future.
Artificial Intelligence Driven Models For Environmental Management
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Author : Shrikaant Kulkarni
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-01
Artificial Intelligence Driven Models For Environmental Management written by Shrikaant Kulkarni and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-01 with Science categories.
Step-by-step guidelines for the development of artificial neural network-based environmental pollution models Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of computational intelligence, data science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet’s natural resources. The text is structured to guide readers through numerous AI models and their practical environmental management applications, showcasing theoretical foundations as well as case studies. This book also addresses the challenges and ethical considerations related to deploying AI in ecological contexts, underscoring the importance of transparency, inclusivity, and alignment with sustainability goals. Sample topics discussed in Artificial Intelligence-Driven Models for Environmental Management include: Tools and methods for monitoring and predicting environmental pollutants faster and more accurately AI technology for the protection of water supplies from contamination to produce healthier foods Use of AI for the evaluation of the impacts of environmental pollution on human health AI and waste management technologies for sustainable agriculture and soil management The role of AI in environmental research and sustainability and key social and economic aspects of natural resource management through AI Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.
Ai Technologies For Personalized And Sustainable Tourism
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Author : Chiwaridzo, Option Takunda
language : en
Publisher: IGI Global
Release Date : 2024-10-15
Ai Technologies For Personalized And Sustainable Tourism written by Chiwaridzo, Option Takunda and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-15 with Business & Economics categories.
As the travel landscape evolves rapidly, propelled by technological innovations, AI emerges as a powerful force reshaping tourism practices worldwide. This book aims to explore the dynamic intersection of artificial intelligence (AI) and the travel industry, offering a comprehensive guide to harnessing AI for enriched, tailored experiences and sustainable development. This groundbreaking book illuminates how AI is revolutionizing personalized recommendations, optimizing operational efficiencies, and promoting eco-conscious practices, fostering a harmonious balance between exploration and environmental stewardship. At its core, AI Technologies for Personalized and Sustainable Tourism seeks to provide a holistic understanding of AI's transformative potential in the hospitality sector. By delving into the latest advancements and real-world applications of AI, readers are guided through practical insights into leveraging AI to enhance traveler experiences while advancing sustainability goals. From AI-powered recommendation systems to predictive analytics and virtual assistants, each chapter offers invaluable insights into how AI can be deployed to create personalized, sustainable tourism experiences.
Prospects Of Artificial Intelligence In The Environment
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Author : Ajitanshu Vedrtnam
language : en
Publisher: Springer Nature
Release Date : 2025-07-19
Prospects Of Artificial Intelligence In The Environment written by Ajitanshu Vedrtnam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-19 with Technology & Engineering categories.
This book gives readers insight into the state-of-the-art use of artificial intelligence for the environment. It encompasses most of the significant facets of current breakthroughs in the fields of conceptions, methodologies, resources, and leading artificial intelligence solutions for the environment. This book presents research at the forefront on applications of artificial intelligence in combating climate change, natural hazards, and textile dyeing pollution (water pollution), for forecasting, assessing air quality trends, and air pollution monitoring. It explains how machine learning can prove to be an efficient technique to forecast the consumption of energy and how AI can be effective for renewable energy systems. Research in this book widens its scope to present the problems, opportunities, and directives for the application of AI systems in engine exhaust prediction. One of the new and interesting things explored is to provide and predict the rate of decay of human lung tissue (due to Particulate Matter exposure) with the help of AI in this book. Likewise, the book opens its scope to various environmental problems and focuses on giving the best solutions with an application of artificial intelligence; this feature makes this book an indispensable guide for environmental scientists and AI researchers of all levels. The book is written comprehensively so that engineering professionals, programmers, environmentalists, graduates, postgraduates, and researchers from beginning/intermediate level to advance level can be enlightened.
Remote Sensing And Gis Principles Techniques And Uses
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Author : Dr. Apperdeep Kaur
language : en
Publisher: Addition Publishing House
Release Date : 2024-12-02
Remote Sensing And Gis Principles Techniques And Uses written by Dr. Apperdeep Kaur and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-02 with Antiques & Collectibles categories.
"Remote Sensing and GIS: Principles, Techniques, and Uses" serves as both a textbook and a reference resource for individuals interested in geospatial technologies and their applications. This book encompasses a holistic approach to understanding the integration of remote sensing and GIS in spatial analysis. It begins with a detailed overview of remote sensing concepts, explaining the types of satellite and aerial sensors, image interpretation, and data acquisition techniques. The book delves into how remotely sensed data can be processed and analyzed to extract meaningful information about the Earth's surface. On the GIS front, the book introduces the key components of Geographic Information Systems, such as data structures, spatial databases, and mapping techniques. It explores both theoretical and practical applications of GIS, focusing on the processes of data collection, storage, analysis, and visualization. Real-world case studies are presented to demonstrate how remote sensing and GIS work together in fields like agriculture, forestry, disaster management, and environmental monitoring. The book emphasizes the importance of these technologies in addressing global challenges, offering a thorough exploration of how they empower better decision-making, efficient resource management, and informed policy development.
Artificial Intelligence And Animal Ecology
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Author : Lidia Ghosh
language : en
Publisher: CRC Press
Release Date : 2025-07-29
Artificial Intelligence And Animal Ecology written by Lidia Ghosh and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-29 with Science categories.
Artificial Intelligence and Animal Ecology: A Review explores the transformative synergy between AI and animal ecology, unveiling how cutting-edge technology is revolutionizing ecological research and conservation. This pioneering book bridges these dynamic fields, demonstrating how AI techniques—such as evolutionary algorithms and optimization methods—both draw inspiration from and advance the study of animal behavior, species interactions, and environmental adaptation. With a strong focus on innovation, it examines groundbreaking AI applications, from bio-inspired algorithms and adaptive learning to breakthroughs in animal communication and behavioral analysis. Readers will gain valuable insights into how AI deciphers complex ecological dynamics, including navigation, vocal communication, and interspecies relationships. The book also addresses ethical considerations, ensuring responsible AI integration in ecological research. More than just a review, this book is a call to action. It empowers researchers, conservationists, and ecologists to embrace AI-driven solutions, fostering interdisciplinary collaboration and expanding the frontiers of ecological knowledge. As AI continues to evolve, Artificial Intelligence and Animal Ecology: A Review provides a vital roadmap for addressing environmental challenges with innovation and a deeper appreciation of the natural world.
Artificial Intelligence Techniques For Sustainable Development
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Author : Deepika Ghai
language : en
Publisher: CRC Press
Release Date : 2024-12-19
Artificial Intelligence Techniques For Sustainable Development written by Deepika Ghai and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-19 with Technology & Engineering categories.
How can the efficiency of the algorithms be increased with a lesser number of computations as well as optimized with the resources for cost-effective solutions? Artificial Intelligence Techniques for Sustainable Development provides an answer. Further, it discusses important concepts such as green communication network design and implementation for the Internet of Things ecosystem, green computing in network security, and artificial intelligence models for remote sensing applications. Key features: Presents the latest tools and techniques in developing solutions intended for resource utilization, energy efficiency, and human and environmental health Highlights the advancement in electronics and communication technology for green applications Covers smart energy harvesting/charging and power management techniques using machine learning Explains green communication network design and implementation for the Internet of Things ecosystem, and green computing in network security Illustrates prediction models for carbon emission and sequestration, environmental health, and climate change The book is aimed at senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics, and communications engineering, computer science and engineering, environmental engineering, and biomedical engineering.