Digital Farming and Smart Agriculture for Sustainable Future
eBook - ePub

Digital Farming and Smart Agriculture for Sustainable Future

  1. 304 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Digital Farming and Smart Agriculture for Sustainable Future

About this book

This book presents the impact and scope of Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) in the growth of intelligent digital farming and smart agriculture. It offers insights into advanced analytics, prognostics capabilities, and the development of economic models for creating innovative software applications and tools necessary for developing IoT devices for precision agriculture. It explores the latest advancements in these fields and their applications, gaining valuable insights into the future of digital farming. The case studies and exploration of future implications make it an excellent guide for academicians and researchers in this field.

  • Discusses various aspects of AI-driven demand forecasting and management
  • Covers smart IoT framework for precision agriculture
  • Includes topics related to deep learning techniques combined with IoT for smart agriculture
  • Explores the scope of computer vision technologies aid in precise crop management
  • Highlights the potential of energy optimization and environmental sustain- ability in agricultural practices

This reference book serves as a valuable resource for researchers and graduates in the fields of t?chnology-driven revolution in agriculture.

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Yes, you can access Digital Farming and Smart Agriculture for Sustainable Future by Febin Daya J. L,S. Graceline Jasmine,Utku Kose in PDF and/or ePUB format, as well as other popular books in Computer Science & Application Development. 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. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. About the Editors
  8. Contributors
  9. 1 Data-Driven Harvests: Navigating Modern Agronomic Technology for Sustainable Smart Agriculture
  10. 2 PrecisionAgro: An Intelligent and Efficient Smart Farm System Leveraging Machine Learning for Optimal Crop Management
  11. 3 From Fields to Bytes: AI-Powered Solution for Indian Agriculture
  12. 4 Soil Fertility Rate Prediction Using XGBoost and Explainable AI (XAI) with SHAP Towards Sustainable Agriculture
  13. 5 Variable Rate Granular Fertilizer Application for Precision Farming
  14. 6 Intelligent Farm Management Using Artificial Intelligence
  15. 7 Advancements in Automated Multi-Class Weed Management Using Enhanced YOLOv8 Object Detection Algorithm
  16. 8 Enhancing Crop Selection and Yield Optimization in Indian Agriculture through Machine Learning-Based Recommendation Systems
  17. 9 Smart Greenhouse IoT: Enhancing Crop Yield through Intelligent Regulation of Climate and Nutrients
  18. 10 Digitizing the Field: Exploring IoT Applications in Modern Farming
  19. 11 Towards Smart Farms: IoT-Driven Automation for Future Agriculture
  20. 12 Mobile Application for Augmented Reality-Based Learning of Rice Crop Management
  21. 13 Smart Sensors for Precision Agriculture
  22. 14 Drones Over Fields: Harnessing UAV Technology for Precision Farming
  23. 15 Routing and Navigation among Aerial Obstacles Using Deep Learning and Depth Maps for Obstacle Routing in Unmanned Aerial Vehicles
  24. 16 Farming from Above: The Role of UAVs in Modern Agricultural Practices
  25. 17 An AI-Based Smart Analysis of Brown-Spot Leaf Disease Proliferation in Sugarcane Plantations of Maharashtra Using Drone-Captured Images
  26. Index