Smart Agriculture Automation Using Advanced Technologies [electronic resource] : Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT /

Contributor(s):

Material type: Text

TextSeries: Transactions on Computer Systems and NetworksPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021Description: XIV, 228 p. 86 illus., 74 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789811661242

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

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.

In: Springer Nature eBookSummary: 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

No physical items for this record

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.

There are no comments on this title.

to post a comment.