LEADER 05470nam 22006133 450 001 9911069226703321 005 20260605101309.0 010 $a1-394-38499-8 010 $a1-394-38497-1 010 $a9781394384976 024 7 $a10.1002/9781394384990 024 8 $aCIPO000358625 035 $a(MiAaPQ)EBC32549194 035 $a(Au-PeEL)EBL32549194 035 $a(CKB)45322842100041 035 $a(OCoLC)1574115432 035 $a(CaSebORM)9781394384952 035 $a(OCoLC)1581153880 035 $a(OCoLC-P)1581153880 035 $a(EXLCZ)9945322842100041 100 $a20260217d2026 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Biodiversity 205 $a1st ed. 210 1$aNewark :$cJohn Wiley & Sons, Incorporated,$d2026. 210 4$dİ2026. 215 $a1 online resource (353 pages) 300 $aIncludes index. 311 08$a1-394-38495-5 327 $aPreface xiii 1 Harnessing Artificial Intelligence to Address Global Environmental Challenges: A Cross-Domain Review 1Suresh K.S., Dafik, Nagendar Yamsani, Rayappan Lotus, S. Mathumohan and Anurag Singh 2 Innovative AI Paradigms for Achieving Environmental Sustainability: From Concept to Practice 21Sudhir Ramadass, R. Sundar, V. Elanangai, Divya Lalita, Banashree Chatterjee and Gayatri Parasa 3 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. Suresh 7 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. Kaliraj 9 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. Eswaran 10 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 Perumal 11 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 Lihore 13 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 Lihore 14 Decades of Transformation: Predictive Analysis of Land Use Changes in Dhanbad Using Deep Learning and Remote Sensing 231A. Anitha and Nikhil Raj 15 AI for Biodiversity and Ecosystem Conservation 261Hina Hashmi, Aman Kumar and Danish Raza Rizvi 16 Pneumonia Detection in Chest Based on Respiratory Variability Using Deep Learning 291Ritu Aggarwal and Eshaan Aggarwal 17 Integrated Optimization Strategies for High-Efficiency Solar PV Plants: From AI to Bifacial Technologies 309S. Dayana Priyadharshini and M. Arvindhan Bibliography 323 Index 327 330 $aHarness 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. 606 $aBiodiversity conservation$xTechnological innovations 606 $aArtificial intelligence$xEnvironmental aspects 606 $aArtificial intelligence$xBiological applications 606 $aArtificial intelligence$xAgricultural applications 606 $aBiodiversity$xTechnological innovations 615 0$aBiodiversity conservation$xTechnological innovations. 615 0$aArtificial intelligence$xEnvironmental aspects. 615 0$aArtificial intelligence$xBiological applications. 615 0$aArtificial intelligence$xAgricultural applications. 615 0$aBiodiversity$xTechnological innovations. 676 $a333.9516 700 $aLilhore$b Umesh Kumar$01838638 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911069226703321 996 $aArtificial Intelligence and Biodiversity$94551084 997 $aUNINA