Smart Agriculture Automation Using Advanced Technologies Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT /
Smart Agriculture Automation Using Advanced Technologies Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT / [electronic resource] :
edited by Amitava Choudhury, Arindam Biswas, T. P. Singh, Santanu Kumar Ghosh.
- 1st ed. 2021.
- XIV, 228 p. 86 illus., 74 illus. in color. online resource.
- Transactions on Computer Systems and Networks, 2730-7492 .
- Transactions on Computer Systems and Networks, .
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.
9789811661242
10.1007/978-981-16-6124-2 doi
Artificial intelligence.
Internet of things.
Quantitative research.
Artificial Intelligence.
Internet of Things.
Data Analysis and Big Data.
Q334-342 TA347.A78
006.3
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.
9789811661242
10.1007/978-981-16-6124-2 doi
Artificial intelligence.
Internet of things.
Quantitative research.
Artificial Intelligence.
Internet of Things.
Data Analysis and Big Data.
Q334-342 TA347.A78
006.3