Multimodal Artificial Intelligence in Precision Agriculture

ebook Practices, Challenges, and Applications · Multimedia and Multimodal Intelligence

By Abhilasha Sharma

cover image of Multimodal Artificial Intelligence in Precision Agriculture

Sign up to save your library

With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.

   Not today

Find this title in Libby, the library reading app by OverDrive.

Download Libby on the App Store Download Libby on Google Play

Search for a digital library with this title

Title found at these libraries:

Library Name Distance
Loading...

This book highlights the integration of cloud, edge, and network computing for sustainable farming and future trends in smart farming including the role of UAVs, 5G, and advanced artificial intelligence. It covers the use of real-time environmental data for forecasting and tracking agricultural products and livestock health monitoring.

  • Offers a detailed exploration of the integration of Internet of Things, artificial intelligence, and multimodal intelligence in precision agriculture, covering a wide range of applications from crop management to livestock monitoring.
  • Identifies and discusses the challenges of using artificial intelligence and multimodal data in agriculture, providing solutions and techniques to overcome these obstacles.
  • Discusses advanced technologies like multispectral and hyperspectral imaging, Internet of Things sensors, and data fusion techniques.
  • Highlights emerging trends and future directions in smart farming, including UAVs, 5G, cloud-edge continuum integration, and federated learning.
  • Includes case studies and practical examples demonstrating successful applications of multimodal artificial intelligence in precision farming.
  • The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, agricultural engineering, and information technology.

    Multimodal Artificial Intelligence in Precision Agriculture