Computer Vision in Smart Agriculture and Crop Management
eBook - PDF

Computer Vision in Smart Agriculture and Crop Management

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Computer Vision in Smart Agriculture and Crop Management

About this book

This book is essential for anyone interested in understanding how smart agriculture, utilizing information and technology such as computer vision and deep learning, can revolutionize agriculture productivity, resolve ongoing concerns, and enhance economic and general effectiveness in farming.

The need for a reliable food supply has driven the development of smart agriculture, which leverages technology to assist farmers, especially in remote areas. A key component is computer vision (CV) technology, which, combined with deep learning, can manage agricultural productivity and enhance automation systems for improved efficiency and cost-effectiveness. Automation in agriculture ensures benefits like reduced costs, high performance, and accuracy. Aerial imaging and high-throughput research enable effective crop monitoring and management. Computer vision and AI models aid in detecting plant health, impurities, and pests, supporting sustainable farming. This book explores using CV and AI to develop smart agriculture through deep learning, data mining, and intelligent applications.

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Yes, you can access Computer Vision in Smart Agriculture and Crop Management by Rajesh Kumar Dhanaraj,Balamurugan Balusamy,Prithi Samuel,Malathy Sathyamoorthy,Ali Kashif Bashir in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Agriculture. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Computer Vision-Based Innovations for Smart Agriculture and Crop Surveillance: Evolution, Trends, and Future Challenges
  8. Chapter 2 Cyber Biosecurity Solutions for Protecting Smart Agriculture and Precision Farming
  9. Chapter 3 Precision Smart Farming and Cultivation with Virtual Reality/ Augmented Reality Technology - Applications and Use Cases
  10. Chapter 4 Stereo Vision Subsystem and Scene Segmentation Self-Steering Tractors in Smart Agriculture
  11. Chapter 5 Vision-Based Image Classification and Image Segmentation Algorithms for Plant Disease Diagnostics
  12. Chapter 6 Smart Dust Technology for Monitoring and Control Systems in Smart Agriculture and Crop Surveillance Systems
  13. Chapter 7 An Advanced Application of UAV – Drone Technologies in Precision Agriculture for Seed Dropping, Fertilizers and Pesticides Spraying and Field Monitoring
  14. Chapter 8 Cognitive Intelligence and Distributed Computing Systems Applications in Smart Farming
  15. Chapter 9 Blockchain-Based Smart Agriculture with the Internet of Things: A Revolutionary Approach in Agriculture and Food Supply Chain
  16. Chapter 10 Computer Vision Systems in Livestock Farming, Poultry Farming, and Fish Farming: Applications, Use Cases, and Research Directions
  17. Chapter 11 Forestry Management with AI and Drone Technology – Digital Forestry
  18. Chapter 12 Drone Application and Use Cases in Smart Agriculture and Crop Surveillance: Future Research Directions
  19. Chapter 13 A Comprehensive Study on Machine Vision Techniques for an Automatic Weeding Strategy in Plantations
  20. Chapter 14 An Effective Study on the Machine Vision-Based Automatic Control and Monitoring in Furrow Irrigation and Precision Irrigation
  21. Chapter 15 Applications in Agriculture for Assessing and Monitoring Soil Using Smart Sensing and Edge Computing
  22. Index
  23. Also of Interest
  24. EULA