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Smart agriculture automation using a...

Choudhury, Amitava.

Smart agriculture automation using advanced technologiesdata analytics and machine learning, cloud architecture, automation and IoT /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Smart agriculture automation using advanced technologiesedited by Amitava Choudhury ... [et al.].
Reminder of title:	data analytics and machine learning, cloud architecture, automation and IoT /
other author:	Choudhury, Amitava.
Published:	Singapore :Springer Singapore :2021.
Description:	xiv, 228 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Agricultural innovations.
Online resource:	https://doi.org/10.1007/978-981-16-6124-2
ISBN:	9789811661242$q(electronic bk.)

Smart agriculture automation using advanced technologiesdata 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 ... [et al.]. - Singapore :Springer Singapore :2021. - xiv, 228 p. :ill., digital ;24 cm. - 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$q(electronic bk.)

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

575627
Agricultural innovations.

LC Class. No.: S494.5.D3 / S53 2021

Dewey Class. No.: 338.16

Smart agriculture automation using advanced technologiesdata analytics and machine learning, cloud architecture, automation and IoT /
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520 $a 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.
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