Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops
eBook - ePub

Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops

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

Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops

About this book

The book Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops provides a comprehensive exploration of artificial intelligence techniques and their transformative role in promoting sustainable agriculture, particularly for Solanaceae crops such as tomato, potato, and eggplant. Focusing on disease detection and prediction, the book highlights advanced AI applications, including dimensionality reduction, feature extraction, and the analysis of complex genomics and phenotypic data. It systematically presents the design, implementation, and evaluation of predictive models using widely adopted tools such as MATLAB and Python, while also addressing both software- and hardware-based solutions for enhancing genomics research and crop disease management. Through detailed case studies, experimental results, and practical examples, the book demonstrates how AI can optimize precision agriculture practices, improve crop yield, and support early warning systems for disease outbreaks. Serving as both a theoretical reference and a practical guide, it is an invaluable resource for researchers, graduate students, agronomists, and professional engineers aiming to leverage AI, image analysis, and predictive modeling to address real-world challenges in Solanaceae crop production and genomics.

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Information

Publisher
CRC Press
Year
2026
Topic
Computer Science
eBook ISBN
9781040615508
Subtopic
Agronomy
Index
Computer Science

Table of contents

  1. Cover Page
  2. Title Page
  3. Copyright Page
  4. Preface
  5. Contents
  6. Chapter 1 Role of Solanaceous Crops in Global Food Security
  7. Chapter 2 Nutritional Value and Health Benefits of Solanaceous Crops
  8. Chapter 3 Effect of Rhizospheric Population on Disease Resistance in Solanaceae Crops
  9. Chapter 4 Harnessing Deep Learning for Disease Detection and Classification in Solanaceae Crops: A Comprehensive Review and Future Outlook
  10. Chapter 5 Cutting-Edge Techniques Highlighted for Disease Detection and Classification in Solanaceae Crops
  11. Chapter 6 A Comprehensive Review on Application of Artificial Intelligence for Sustainable Potato Farming and Future Scope
  12. Chapter 7 Artificial Intelligence in Agriculture: Exploring Trends, Challenges, and Future Directions
  13. Chapter 8 AI-Driven Automation in Solanaceae Farming for Disease and Pest Management
  14. Chapter 9 Demystifying the Role of Deep Learning Models for Disease Detection and Classification in Solanaceae Crops
  15. Chapter 10 Cutting Edge Techniques for Disease Detection in Solanaceous Crops
  16. Chapter 11 Artificial Intelligence for Precision Cultivation of Solanaceae Crops Enhancing Yield and Resource Efficiency
  17. Chapter 12 An Integrated Framework for Automatic Irrigation for Solanaceae Crops using Feedback Learning with Multimodal Optimizations
  18. Index
  19. About the Editors

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Yes, you can access Artificial Intelligence and Sustainable Agriculture for Solanaceae Crops by Mithilesh Kumar Dubey,Kajal Verma,Khalil Ahmed,Sudha Dubey in PDF and/or ePUB format, as well as other popular books in Computer Science & Agronomy. We have over 1.5 million books available in our catalogue for you to explore.