Artificial Intelligence and Computer Vision for Ecological Informatics
eBook - ePub

Artificial Intelligence and Computer Vision for Ecological Informatics

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Computer Vision for Ecological Informatics

About this book

Ecological informatics, more commonly known as Ecoinformatics, is the study of environmental sciences and ecological information. It is an emerging interdisciplinary framework for the management, analysis, and synthesis of ecological data with the help of advanced computational intelligence algorithms. Management in this context is data acquisition, preprocessing, and sharing the data. Analysis and synthesis are the process of extracting useful information and forecasting with the help of intelligent algorithms.

The aim of this book is to encapsulate concepts and theories of artificial intelligence and computer vision algorithms used for the evaluation of various ecological informatics applications. It focuses on soft computing, machine learning, deep learning, artificial intelligence, bio-inspired algorithms, data analysis tools, data visualization tools, and computer vision algorithms used in ecological informatics. The book covers remote sensing applications, water bodies evaluation, agriculture mapping, aquatic mapping, forest management, and terrestrial ecosystems.

The book will be useful to students, researchers, scientists, and field experts in directing their work towards this domain, to deliver and design models and prototypes for the benefit of society and the environment.

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Yes, you can access Artificial Intelligence and Computer Vision for Ecological Informatics by Siddharth Singh Chouhan,Uday Pratap Singh,Akash Saxena,Akhilesh Tiwari,Sanjeev Jain in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Contents
  6. 1. Drone Importance and their Necessity in Future Generation Agriculture
  7. 2. Advances in Wildfire Spread Detection and Prediction: Techniques, Challenges, and Applications
  8. 3. Leveraging Remote Sensing for Agriculture Mapping: Techniques, Applications, and Future Directions
  9. 4. Basil Crop Detection Using Computer Vision and Deep Learning Approach
  10. 5. Remote Sensing for Agriculture Mapping
  11. 6. Advances of Remote Sensing Technologies in Agriculture Current Progress and Future Perspectives
  12. 7. Remote Sensing for Sustainable Agriculture A Machine Learning Approach to Optimizing Farm Yield and Economic Returns
  13. 8. Leveraging AI and CV Technologies to Advance Water Quality Assessment in Ecological Informatics
  14. 9. Tracing Plant Growth Patterns Employing Artificial Intelligence and Computer Vision for Explicit Mapping
  15. 10. AI-Driven Circular Economy: Innovations in Agro and Food Waste Management
  16. 11. Advancements in Machine Learning for Water Quality Assessment
  17. 12. Enhancing Agricultural Support with AI in the Farmer ChatBot Framework
  18. 13. Federated Learning: A Game-Changer in Agricultural Decision-Making and Precision Farming
  19. 14. Clean Streams, Clear Futures: AI Innovations in Water Quality Monitoring
  20. 15. Transforming Waste into Resources: AI's Impact on Wastewater Treatment
  21. 16. Soil Moisture Evaluation by Artificial Intelligence and Computer Vision
  22. 17. Crop Yield Estimation
  23. 18. Soil Fertility Evaluation
  24. 19. Advancements in Soil Moisture Evaluation Sensors, Remote Sensing and Artificial Intelligence
  25. 20. Sustainable Agriculture Economic Perspectives on AI and ML in Crop Yield Estimation
  26. Index
  27. About the Authors