Environmental Monitoring Using Artificial Intelligence
eBook - PDF

Environmental Monitoring Using Artificial Intelligence

  1. 423 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Environmental Monitoring Using Artificial Intelligence

About this book

Environmental Monitoring Using Artificial Intelligence is a vital resource for anyone looking to leverage cutting-edge technologies in artificial intelligence and sensor systems to effectively address environmental challenges, offering innovative solutions and insights essential for creating a sustainable future.

Environmental Monitoring Using Artificial Intelligence provides a comprehensive exploration of the cutting-edge technologies transforming environmental monitoring. This book bridges the gap between artificial intelligence (AI), natural language processing (NLP), and sensor-based systems, highlighting their potential to revolutionize the way we address pressing environmental challenges. Each chapter presents innovative case studies, real-world applications, and the latest research on how these technologies are being utilized to monitor and manage ecosystems, water resources, air quality, and urban sustainability.

From advanced sensor networks to machine learning models, this book covers a broad spectrum of topics, including smart water solutions, biodiversity conservation, waste management, and agricultural sustainability. It offers an interdisciplinary approach, making it an essential resource for environmental engineers, data scientists, researchers, and policymakers. Whether you're exploring smart city innovations, renewable energy monitoring, or AI-driven solutions for environmental protection, Environmental Monitoring Using Artificial Intelligence equips readers with the knowledge and tools to leverage technology for a sustainable future.

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Yes, you can access Environmental Monitoring Using Artificial Intelligence by A. Suresh,T. Devi,N. Deepa,Ali Kashif Bashir in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Transformative Trends in AI for Environmental Monitoring: Challenges, Applications
  8. Chapter 2 Fundamentals of AI and NLP in Environmental Analysis
  9. Chapter 3 Smart Environmental Monitoring Systems: IoT and Sensor-Based Advancements
  10. Chapter 4 Remote Monitoring Advancements: A New Approach to Biodiversity Conservation
  11. Chapter 5 Smart Water Solutions: A Case Study on Drone-Led Hydrological Investigation of Water Diversion from Lakshmiyapuram Catchment to Sivakasi Periyakulam Tank
  12. Chapter 6 Sustainable Waste Management as a Key Feature for Smart City: A Case Study of Vadodara, Gujarat, India
  13. Chapter 7 Sensor Technologies for Environmental Data Collection
  14. Chapter 8 Significance and Advancement of Sensor Technologies for Environmental Analysis
  15. Chapter 9 Texture-Based Classification of Organic and Pesticidal Spinach Using Machine Learning
  16. Chapter 10 Deep Bidirectional LSTM for Emotion Detection through Mobile Sensor Analysis
  17. Chapter 11 A Comparative Analysis of AlexNet and ResNet for Pneumonia Detection
  18. Chapter 12 Comparison of Borewell Rescue L-Type Different Arm with Different Materials
  19. Chapter 13 Optimizing Almond and Walnut Farming: A U-Net-Powered Deep Learning Approach for Energy Efficiency Prediction and Damage Assessment
  20. Chapter 14 Enhancing Sustainable Management of Waste Dump Sites with Smart Drones and Geospatial Tech: Air Quality Monitoring and Analysis
  21. Chapter 15 Voltage Veggies: A Shocking Revolution in Agriculture
  22. Chapter 16 Emperor Penguin Optimized Loop Selection Process for Routerless NoC Design
  23. Chapter 17 Case Study on Flyover Construction and the Air Quality Measurement by the Emission Level of Pollutants
  24. About the Editors
  25. Index
  26. Also of Interest
  27. EULA