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Beschreibung
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.
Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT
Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 08. Dezember 2022 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 421 Gramm |
| Format | Softcover |
| ISBN-13 | 9789811661266 |
| Seiten | 228 |
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