國立高雄大學圖資館 |

Language: English

Back

Internet of things and analytics for...

Kumar, Raghvendra.

Internet of things and analytics for agriculture.Volume 2

Record Type:	Electronic resources : Monograph/item
Title/Author:	Internet of things and analytics for agriculture.edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal.
other author:	Pattnaik, Prasant Kumar.
Published:	Singapore :Springer Singapore :2020.
Description:	xii, 288 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Artificial intelligenceAgricultural applications.
Online resource:	https://doi.org/10.1007/978-981-15-0663-5
ISBN:	9789811506635$q(electronic bk.)

Internet of things and analytics for agriculture.Volume 2
Internet of things and analytics for agriculture.Volume 2[electronic resource] /edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal. - Singapore :Springer Singapore :2020. - xii, 288 p. :ill., digital ;24 cm. - Studies in big data,v.672197-6503 ;. - Studies in big data ;v.1..

Preamble -- Preface -- Acknowledgments -- About the Authors -- IoT-Agro Paradigm -- IoT: Foundations and Applications -- Smart Monitoring for Irrigation and Water Level Retention Functional Framework for IoT-based Agricultural System -- Intelligent Agro-Food Chain System -- Case Studies and Applications in IoT based Agriculture System -- Glossary -- Index.

This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT) A major challenge in agriculture is cultivating and supplying high-quality produce at the best. Currently, around 50% of global farm produce never reaches the end consumer due to wastage and suboptimal prices. The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer. It discusses the design of an IoT-based monitoring system to analyze crop environments and a method to improve the efficiency of decision-making by analyzing harvest statistics. Further, it explores climate-smart methods, known as smart agriculture, that have been adopted by a number of Indian farmers.

ISBN: 9789811506635$q(electronic bk.)

Standard No.: 10.1007/978-981-15-0663-5doiSubjects--Topical Terms:

803531
Artificial intelligence
--Agricultural applications.

LC Class. No.: S494.5.D3

Dewey Class. No.: 630.208563

Internet of things and analytics for agriculture.Volume 2
LDR:02330nmm a2200337 a 4500 001 576775
003 DE-He213
005 20200303133702.0
006 m d
007 cr nn 008maaau
008 201120s2020 si s 0 eng d
020 $a 9789811506635$q(electronic bk.)
020 $a 9789811506628$q(paper)
024 7 $a 10.1007/978-981-15-0663-5 $2 doi
035 $a 978-981-15-0663-5
040 $a GP $c GP
041 0 $a eng
050 4 $a S494.5.D3
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
082 0 4 $a 630.208563 $2 23
090 $a S494.5.D3 $b I61 2020
245 0 0 $a Internet of things and analytics for agriculture. $n Volume 2 $h [electronic resource] / $c edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a xii, 288 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6503 ; $v v.67
505 0 $a Preamble -- Preface -- Acknowledgments -- About the Authors -- IoT-Agro Paradigm -- IoT: Foundations and Applications -- Smart Monitoring for Irrigation and Water Level Retention Functional Framework for IoT-based Agricultural System -- Intelligent Agro-Food Chain System -- Case Studies and Applications in IoT based Agriculture System -- Glossary -- Index.
520 $a This book addresses major challenges faced by farmers and the technological solutions based on Internet of Things (IoT) A major challenge in agriculture is cultivating and supplying high-quality produce at the best. Currently, around 50% of global farm produce never reaches the end consumer due to wastage and suboptimal prices. The book presents solutions that reduce the transport costs, improve the predictability of prices based on data analytics and the current market conditions, and reduce the number of middle steps and agents between the farmer and the end consumer. It discusses the design of an IoT-based monitoring system to analyze crop environments and a method to improve the efficiency of decision-making by analyzing harvest statistics. Further, it explores climate-smart methods, known as smart agriculture, that have been adopted by a number of Indian farmers.
650 0 $a Artificial intelligence $x Agricultural applications. $3 803531
650 0 $a Internet of things. $3 670954
650 1 4 $a Robotics and Automation. $3 357111
650 2 4 $a Big Data. $3 760530
650 2 4 $a Data Engineering. $3 839346
650 2 4 $a Big Data/Analytics. $3 742047
700 1 $a Pattnaik, Prasant Kumar. $3 809592
700 1 $a Kumar, Raghvendra. $3 861735
700 1 $a Pal, Souvik. $3 861746
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in big data ; $v v.1. $3 675357
856 4 0 $u https://doi.org/10.1007/978-981-15-0663-5
950 $a Intelligent Technologies and Robotics (Springer-42732)