Smart Agriculture
eBook - ePub

Smart Agriculture

Harnessing Machine Learning for Crop Management

  1. 216 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Smart Agriculture

Harnessing Machine Learning for Crop Management

About this book

This book, Smart Agriculture: Harnessing Machine Learning for Crop Management, is a comprehensive guide designed to explore the various facets of integrating machine learning into agricultural practices. It aims to provide readers with a solid foundation in machine learning concepts while demonstrating their practical applications in real-world farming scenarios. It also examines the role of remote monitoring and precision agriculture, highlighting how technologies such as remote sensing and recurrent neural networks can optimize farming practices.

This book:

  • Emphasizes sustainable agricultural practices and data-driven decision-making for eco-friendly farming.

  • Highlights the importance of using environmentally friendly practices, and how machine learning can play a pivotal role in achieving sustainability goals.

  • Discusses topics such as crop optimization, disease detection, pest control, resource management, precision agriculture, and sustainability.

  • Covers predictive analytics for weather forecasting, Internet of Things applications for precision agriculture, and the role of sensors in data collection.

  • Illustrates optimizing resource allocation, irrigation with artificial intelligence, and machine learning for soil health assessment.

Whether you are a researcher, a student, an agricultural professional, or a technology enthusiast, this book offers valuable insights into the transformative power of machine learning in agriculture. It invites readers to explore the potential of machine learning to transform farming practices, improve food security, and promote environmental sustainability.

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Yes, you can access Smart Agriculture by Amol Dattatray Dhaygude,Suman Kumar Swarnkar,Priya Chugh,Yogesh Kumar Rathore in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half Title page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Acknowledgments
  9. Editors
  10. Contributors
  11. Chapter 1 Reviewing detection of plant disease by making use of machine learning mechanism
  12. Chapter 2 Future prospects and challenges of digital transformation in agriculture and dairy industries
  13. Chapter 3 Innovative IoT-driven solutions for real-time crop health surveillance and precision agriculture
  14. Chapter 4 Optimizing resource allocation in precision agriculture through the application of K-means clustering
  15. Chapter 5 Upholding ethical standards in modern agriculture: An examination of privacy-preserving machine learning techniques
  16. Chapter 6 Exploring the effectiveness of decision trees for comprehensive detection of crop diseases in agricultural environments
  17. Chapter 7 Integrating deep learning and image recognition into smart farming
  18. Chapter 8 Exploring the effectiveness of decision trees for comprehensive detection of crop diseases in agricultural environments
  19. Chapter 9 Enhancing crop yield prediction accuracy through the application of gradient descent optimization algorithms
  20. Chapter 10 Machine learning models for early detection of pest infestation in crops: A comparative study
  21. Index