
Smart Agriculture Automation Using Advanced Technologies: Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT
によって
Harold L. Vogel
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Science & Technology
形式
キンドル
ページ数
380
言語
中国語
公開されました
Jan 1, 2022
出版社
Springer
版
3
ISBN-10
9811661243
ISBN-13
9789811661242
説明
This insightful work delves into the transformative landscape of smart agriculture by harnessing the power of advanced technologies. The author explores the pivotal role of data analytics and machine learning, demonstrating how these tools can offer groundbreaking solutions to the pressing challenges faced by the agricultural sector. By integrating intelligent systems, farmers can optimize resources, improve yields, and make informed decisions based on real-time data.
The book further examines the innovative applications of cloud architecture and automation in agriculture, revealing how these systems can streamline operations and enhance productivity. Through practical examples and case studies, readers will gain a clear understanding of how cloud-based technologies can facilitate seamless connectivity and data sharing among various agricultural stakeholders.
Additionally, the treatment of the Internet of Things in the context of smart farming showcases the potential of interconnected devices to revolutionize traditional practices. This comprehensive exploration not only outlines the current trends but also provides a forward-looking vision for the future of agriculture in an increasingly digital world.
The book further examines the innovative applications of cloud architecture and automation in agriculture, revealing how these systems can streamline operations and enhance productivity. Through practical examples and case studies, readers will gain a clear understanding of how cloud-based technologies can facilitate seamless connectivity and data sharing among various agricultural stakeholders.
Additionally, the treatment of the Internet of Things in the context of smart farming showcases the potential of interconnected devices to revolutionize traditional practices. This comprehensive exploration not only outlines the current trends but also provides a forward-looking vision for the future of agriculture in an increasingly digital world.