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Smart Agriculture Automation Using Advanced Technologies : Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT / edited by Amitava Choudhury, Arindam Biswas, T. P. Singh, Santanu Kumar Ghosh.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Transactions on computer systems and networks 2730-7492
- Transactions on Computer Systems and Networks, 2730-7492
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Internet of things.
- Quantitative research.
- Artificial Intelligence.
- Internet of Things.
- Data Analysis and Big Data.
- Local Subjects:
- Artificial Intelligence.
- Internet of Things.
- Data Analysis and Big Data.
- Physical Description:
- 1 online resource (XIV, 228 pages) : 86 illustrations, 74 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
- System Details:
- text file PDF
- 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 and machine learning, cloud architecture, automation and 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-16-6124-2
- 9789811661242
- Access Restriction:
- Restricted for use by site license.
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