Computational Intelligence and Image Processing in Agriculture
eBook - ePub

Computational Intelligence and Image Processing in Agriculture

Applications and Innovations

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

Computational Intelligence and Image Processing in Agriculture

Applications and Innovations

About this book

Revolutionizing Agricultural Quality Control with AI, Image Processing, and Computational Intelligence Techniques

As the global demand for high-quality, sustainable agricultural products increases, advanced technology becomes critical in meeting these challenges. Computational Intelligence and Image Processing in Agriculture explores how innovative technologies are transforming agricultural quality evaluation. Combining foundational concepts with practical applications, this comprehensive text delves into innovative techniques to improve accuracy, efficiency, and sustainability in quality control.

Addressing key challenges faced by researchers, practitioners, and industry professionals, contributions from leading experts in AI, agriculture, and computational intelligence provide a deep understanding of technologies such as deep learning, computer vision, and AI-driven robotics. Real-world examples, step-by-step tutorials, and code snippets make the concepts accessible and actionable, while coverage of emerging trends and future directions highlights the evolving landscape of agricultural technology. Offering interdisciplinary insights and practical tools to modernize evaluation techniques, reduce waste, enhance food safety, and meet the growing demands of sustainable farming practices, this book:

  • Addresses challenges and solutions for real-time monitoring systems in agriculture
  • Highlights cutting-edge applications such as AI-driven robotics and LiDAR in farming
  • Emphasizes sustainability and environmental impact through technological innovation
  • Offers detailed coverage of image analysis algorithms for quality control
  • Discusses ethical and environmental implications of technology in agriculture

This book is ideal for advanced undergraduate and graduate courses in agricultural engineering, computer science, and AI applications. It is also an essential reference for professionals including agricultural scientists, AI practitioners, and quality control experts.

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Yes, you can access Computational Intelligence and Image Processing in Agriculture by Jay Kumar Pandey,Mritunjay Rai,Tanmay Sarkar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Vision & Pattern Recognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright
  5. Preface
  6. Acknowledgments
  7. Chapter 1: Grain Quality Assessment: Image-based Techniques for Grain Analysis, Detecting Contaminants and Impurities and Real-world Applications
  8. Chapter 2: AI-driven Robotics in Agriculture
  9. Chapter 3: Computer Vision in Agriculture: Object Detection, Recognition, and Image Segmentation Techniques and Advanced Image Analysis
  10. Chapter 4: Artificial Intelligence and Machine Learning in Agriculture: Novel Techniques, Implementation Strategies, and Application
  11. Chapter 5: A Novel Approach Toward Computational Image Processing and Strategies for Precision Agriculture
  12. Chapter 6: Adoption of Advanced Technologies in Soilless Modern Agriculture
  13. Chapter 7: Computer Vision in Agriculture
  14. Chapter 8: Quality Evaluation of Fruits and Vegetables
  15. Chapter 9: Ensuring Quality in Fruits and Vegetables: Strategies and Tools
  16. Chapter 10: Mapping and Validation of Fusion-based Classification of Land Use and Land Cover Using Remote Sensing Satellite Images
  17. Chapter 11: Computer Vision Applications for Sustainable Agriculture
  18. Chapter 12: Autonomous Drones and AI Applications in Agriculture for Monitoring and Pest Control
  19. Chapter 13: Using AI Robotics for Soil Analysis and Fertility Management in Agriculture
  20. Chapter 14: Computational Intelligence and IoT in Transforming Agricultural Environmental Control
  21. Chapter 15: Real-time Monitoring and Quality Evaluation System of Fruits and Vegetables Using Image Processing
  22. Chapter 16: Computational Intelligence and Image Processing in Quality Evaluation of Agricultural Products
  23. Index
  24. End User License Agreement