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    1. Data och IT
    2. Systemvetenskap och AI
    3. Artificiell intelligens

    Artificial Intelligence and Biodiversity

    AvUmesh Kumar Lilhore,Sarita Simaiya

    Inbunden, Engelska, 2026

    2 031 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Harness the power of the digital frontier to save our planet with this essential guide, which demonstrates how deep learning, genetic engineering, and AI-based robotics can be integrated to track biodiversity, restore genetic diversity, and rebuild fragile ecosystems with unprecedented precision. From satellite imagery to genetic sequencing, AI is helping researchers track biodiversity, predict ecosystem changes, and monitor endangered species with unprecedented precision. This book delves into the exciting ways that artificial intelligence (AI), particularly deep learning, is being used to analyze complex ecological data. It offers an in-depth look at how these AI-driven technologies are transforming how we approach biodiversity conservation on a global scale, examining the role of genetic engineering, guided by AI, in restoring genetic diversity and helping species adapt to rapidly changing environments. Additionally, the book highlights how AI is revolutionizing ecosystem restoration, using AI-based robotics and reinforcement learning to restore habitats such as forests, wetlands, and coral reefs. It looks at real-world applications where AI systems are actively being used to rebuild damaged ecosystems, suggesting new ways to restore balance to nature. Through a combination of practical case studies and theoretical insights, this guide serves as an essential resource for anyone interested in the future of conservation, whether you are an AI specialist, an environmental scientist, or simply someone passionate about protecting the planet. By blending the latest in AI research with real-world biodiversity challenges, this book paints a picture of a future where technology and nature work hand in hand to safeguard life on Earth.

    Produktinformation

    • Utgivningsdatum:2026-02-27
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:352
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781394384952

    Utforska kategorier

    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Umesh Kumar Lilhore, PhD is a Professor in the Department of Computer Science and Engineering at Galgotias University. He has authored ten books, more than 100 research articles in journals, and filed 50 patents across India and the UK. His research interests include artificial intelligence, machine learning, and software engineering. Sarita Simaiya, PhD is a Professor of Computer Science and Engineering at Galgotias University with more than 17 years of teaching and research experience. She has published more than 140 articles in international journals and conferences. Her research focuses on machine learning, Internet of Things, and AI. Surjeet Dalal, PhD is a Professor and researcher with more than 20 years of experience in teaching and research in Computer Science and Engineering. He has published more than 140 articles in international journals and conferences. His research interests include artificial intelligence and cloud computing. Martin Margala, PhD is the Director of the School of Computing at the University of Louisiana at Lafayette with more than 25 years of experience in teaching and research. He has more than 400 publications to his credit, including in international journal articles and conference proceedings. He specializes in exascale computing, ultra-high frequency design, and design for reliability.

    Innehållsförteckning

    • Preface xiii1 Harnessing Artificial Intelligence to Address Global Environmental Challenges: A Cross-Domain Review 1Suresh K.S., Dafik, Nagendar Yamsani, Rayappan Lotus, S. Mathumohan and Anurag Singh2 Innovative AI Paradigms for Achieving Environmental Sustainability: From Concept to Practice 21Sudhir Ramadass, R. Sundar, V. Elanangai, Divya Lalita, Banashree Chatterjee and Gayatri Parasa3 Deep Learning Approaches for Real-Time Climate Monitoring and Anomaly Detection in Meteorological Systems 41Manyam Thaile, Baby Anusha, Nagendar Yamsani, Balakrishnan, Umasree Mariappan and Sunder R.4 Federated Learning for Privacy-Preserving Environmental Monitoring Across Distributed Sensor Networks 57Kireet Muppavaram, Manyam Thaile, T. Srinivasulu, T. Srikanth, Anita Pradhan and Siva Shankar S.5 Quantum AI in Environmental Modeling: Opportunities for Accelerating Ecosystem Simulations 75Fathimathul Rajeena P.P., Rahoof P. P. and Sunder R.6 Developing Digital Twin Ecosystems for Dynamic Environmental Analysis and Predictive Sustainability Planning 91Ann Rija Paul, Amutha. S., M. Sakthivanitha, M. Mohamed Sirajudeen, N. Anandakrishnan and S. Suresh7 AI-Driven Optimization of Renewable Energy Systems: Forecasting, Load Balancing, and Grid Efficiency 107Raghavendra Kulkarni, P. Manikandaprabhu, Disha Sushant Wankhede, Bura Vijay Kumar, M. Vasuki and Rasmi A.8 Intelligent Systems for Pollution Detection and Control: Integrating AI in Urban and Industrial Environments 127K. Dhana Sree Devi, Ika Hesti Agustin, Talluri Lakshmi Siva Rama Krishna, Bura Vijay Kumar, Rishabh Garg and K. Kaliraj9 Smart Agriculture Using AI: Enhancing Crop Yield, Soil Health, and Resource Efficiency 145M. Vamsikrishna, Tholkapiyan M., Divya Kumari Tankala, Gotte Ranjith Kumar, Sandeep Kaur and P. Eswaran10 Preserving Biodiversity through AI: Automated Species Monitoring and Habitat Conservation Strategies 163Eshwar Dara, Bui Thanh Hung, Rayappan Lotus, Gotte Ranjith Kumar, C. Parameswari and Rajakumar Perumal11 Explainable AI in Environmental Decision-Making: Enhancing Trust and Transparency in Sustainability Models 181Sreejith R., Kapil Aggarwal, Nagendar Yamsani, T. Amalraj Victoire, G. Susan Shiny and Rasmi A.12 Ethical Implications of AI in Environmental Policy Formulation: Balancing Innovation and Responsibility 199Muralidhar Vejendla, Nor Asilah Wati Abdul Hamid, P. Jyothi, Kanegonda Ravi Chythanya, Sudheer S. Marar and Umesh Kumar Lihore13 Shaping a Sustainable Future: The Role of AI in Driving Green Innovation and Environmental Equity 213Madhura S., P. Sridhar, R. Karthikeyan, Patil Mounica, R. Archana Reddy and Umesh Kumar Lihore14 Decades of Transformation: Predictive Analysis of Land Use Changes in Dhanbad Using Deep Learning and Remote Sensing 231A. Anitha and Nikhil Raj15 AI for Biodiversity and Ecosystem Conservation 261Hina Hashmi, Aman Kumar and Danish Raza Rizvi16 Pneumonia Detection in Chest Based on Respiratory Variability Using Deep Learning 291Ritu Aggarwal and Eshaan Aggarwal17 Integrated Optimization Strategies for High-Efficiency Solar PV Plants: From AI to Bifacial Technologies 309S. Dayana Priyadharshini and M. ArvindhanBibliography 323Index 327