Smart agriculture automation using advanced technologies : data analytics and machine learning, cloud architecture, automation and IoT
著者
書誌事項
Smart agriculture automation using advanced technologies : data analytics and machine learning, cloud architecture, automation and IoT
(Transactions on computer systems and networks / series editor Amlan Chakrabarti)
Springer, c2021
大学図書館所蔵 件 / 全2件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references
内容説明・目次
内容説明
This book addresses the challenges for developing and emerging trends in Internet-of-Things (IoT) for smart agriculture platforms. It also describes data analytics & machine learning, cloud architecture, automation & robotics and aims to overcome existing barriers for smart agriculture with commercial viability. It discusses IoT-based monitoring systems for analyzing the crop environment, and methods for improving the efficiency of decision-making based on the analysis of harvest statistics. The book explores a range of applications including intelligent field monitoring, intelligent data processing and sensor technologies, predictive analysis systems, crop monitoring, and weather data-enabled analysis in IoT agro-systems. This volume will be helpful for engineering and technology experts and researchers, as well as for policy-makers.
目次
IoT Foundations and Its Application.- Secure and Smart Internet of Things (IoT).- Machine Learning and IoT in Agriculture.- IoT-Enabled Agricultural System Applications, Challenges and Security Issue.- Blockchain In Agriculture - Improving Agricultural Techniques.- IoT and agriculture data analysis for smart farm.- Precision Farming and its applications.- Agricultural Drones vs Inter net of Things.- Automation in agriculture using artificial intelligence.- Computer Vision and Pattern Recognition for Smart Agriculture.
「Nielsen BookData」 より