Multimodal Artificial Intelligence In Precision Agriculture Practices Challenges And Applications (Abhilasha Sharma;Vishwas Rathi;Anupam Biswas;Ani…

Multimodal Artificial Intelligence in Precision Agriculture
by Abhilasha Sharma;Vishwas Rathi;Anupam Biswas;Anil Singh;Omer Rana;

[color=#44bb44]📄 Pages: 340

[color=#888888]📝 DESCRIPTION: 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.

Key Features

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 engineering, agricultural engineering, and information technology.

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Folder: Multimodal Artificial Intelligence In Precision Agriculture Practices Challenges And Applications
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Total Size: 20.88 MB

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