Smart agriculture automation using advanced technologies data analytics and machine learning, cloud architecture, automation and IoT /
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...
| Other Authors: | Choudhury, Amitava., Biswas, Arindam., Singh, T. P., Ghosh, Santanu Kumar., SpringerLink (Online service) |
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| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
2021.
Singapore : 2021. |
| Physical Description: |
1 online resource (236 pages). |
| Series: |
Transactions on computer systems and networks.
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| Subjects: |
| Summary: |
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. |
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| Item Description: |
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. 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. |
| Physical Description: |
1 online resource (236 pages). |
| ISBN: |
9789811661242 9811661243 |