Artificial Intelligence and Iot-based Technologies for Sustainable Farming and Smart Agriculture

Artificial Intelligence and Iot-based Technologies for Sustainable Farming and Smart Agriculture
PDF
  • eBook:
    Artificial Intelligence and Iot-based Technologies for Sustainable Farming and Smart Agriculture
  • Author:
    Pradeep Tomar, Gurjit Kaur
  • Edition:
    -
  • Categories:
  • Data:
    January 8, 2021
  • ISBN:
    1799817237
  • ISBN-13:
    9781799817239
  • Language:
    English
  • Pages:
    400 pages
  • Format:
    PDF

Book Description
As technology continues to saturate modern society, agriculture has started to adopt digital computing and data-driven innovations. This emergence of "smart" farming has led to various advancements in the field, including autonomous equipment and the collection of climate, livestock, and plant data. As connectivity and data management continue to revolutionize the farming industry, empirical research is a necessity for understanding these technological developments. Artificial Intelligence and IoT-Based Technologies for Sustainable Farming and Smart Agriculture provides emerging research exploring the theoretical and practical aspects of critical technological solutions within the farming industry. Featuring coverage on a broad range of topics such as crop monitoring, precision livestock farming, and agronomic data processing, this book is ideally designed for farmers, agriculturalists, product managers, farm holders, manufacturers, equipment suppliers, industrialists, governmental professionals, researchers, academicians, and students seeking current research on technological applications within agriculture and farming.

Content

Chapter 1. Digitization in Agriculture: Insight Into the Networked World
Chapter 2. Artificial Intelligence and Its Applications in Agriculture With the Future of Smart Agriculture Techniques
Chapter 3. Artificial and Natural Intelligence Techniques as IoP- and IoT-Based Technologies for Sustainable Farming and Smart Agriculture
Chapter 4. Digital Technologies for Smart Agriculture
Chapter 5. Farming Automation
Chapter 6. Food 4.0: An Introduction
Chapter 7. Emerging Technological Model to Sustainable Agriculture
Chapter 8. Synergistic Technologies for Precision Agriculture
Chapter 9. Use of Smart Farming Techniques to Mitigate Water Scarcity
Chapter 10. Smart Agriculture With Autonomous Unmanned Ground and Air Vehicles: Approaches to Calculating Optimal Number of Stops in Harvest Optimization and a Suggestion
Chapter 11. Smart Sensors for Smart Agriculture
Chapter 12. Smart Agriculture Using WSN and IoT
Chapter 13. Smart Soil Monitoring System for Smart Agriculture
Chapter 14. Real-Time Crop Monitoring in Agriculture
Chapter 15. WSN, APSim, and Communication Model-Based Irrigation Optimization for Horticulture Crops in Real Time
Chapter 16. Using Drones in Smart Farming
Chapter 17. Disease Monitoring of Cucumber in Polyhouse Through IoT-Based Mobile Application
Chapter 18. Artificial Intelligence in Integrated Pest Management
Chapter 19. Application of Convoluted Neural Network and Its Architectures for Fungal Plant Disease Detection
Chapter 20. Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture
Chapter 21. Development of a Solar-Powered Greenhouse Integrated With SMS and Web Notification Systems

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