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Smart Agriculture Automation Using Advanced Technologies = Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Smart Agriculture Automation Using Advanced Technologies/ edited by Amitava Choudhury, Arindam Biswas, T. P. Singh, Santanu Kumar Ghosh.
Reminder of title:	Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT /
other author:	Choudhury, Amitava.
Description:	XIV, 228 p. 86 illus., 74 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-981-16-6124-2
ISBN:	9789811661242

Smart Agriculture Automation Using Advanced Technologies = Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT /
Smart Agriculture Automation Using Advanced TechnologiesData 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.

ISBN: 9789811661242

Standard No.: 10.1007/978-981-16-6124-2doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: Q334-342

Dewey Class. No.: 006.3

Smart Agriculture Automation Using Advanced Technologies = Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT /
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