國立虎尾科技大學 |

Internet of Things and Analytics for Agriculture, Volume 2

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Internet of Things and Analytics for Agriculture, Volume 2/ edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal.
other author:	Pattnaik, Prasant Kumar.
Description:	XII, 288 p.online resource. :
Contained By:	Springer Nature eBook
Subject:	Robotics. -
Online resource:	https://doi.org/10.1007/978-981-15-0663-5
ISBN:	9789811506635

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. - 1st ed. 2020. - XII, 288 p.online resource. - Studies in Big Data,672197-6503 ;. - Studies in Big Data,8.

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

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

561941
Robotics.

LC Class. No.: TJ210.2-211.495

Dewey Class. No.: 629.892

Internet of Things and Analytics for Agriculture, Volume 2
LDR:02719nam a22004215i 4500 001 1018688
003 DE-He213
005 20200629175731.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811506635 $9 978-981-15-0663-5
024 7 $a 10.1007/978-981-15-0663-5 $2 doi
035 $a 978-981-15-0663-5
050 4 $a TJ210.2-211.495
050 4 $a T59.5
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TJFM1 $2 thema
082 0 4 $a 629.892 $2 23
245 1 0 $a Internet of Things and Analytics for Agriculture, Volume 2 $h [electronic resource] / $c edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a XII, 288 p. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Big Data, $x 2197-6503 ; $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 Robotics. $3 561941
650 0 $a Automation. $3 596698
650 0 $a Big data. $3 981821
650 0 $a Engineering—Data processing. $3 1297966
650 1 4 $a Robotics and Automation. $3 782979
650 2 4 $a Big Data. $3 1017136
650 2 4 $a Data Engineering. $3 1226308
650 2 4 $a Big Data/Analytics. $3 1106909
700 1 $a Pattnaik, Prasant Kumar. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1202360
700 1 $a Kumar, Raghvendra. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1299293
700 1 $a Pal, Souvik. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1313744
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811506628
776 0 8 $i Printed edition: $z 9789811506642
776 0 8 $i Printed edition: $z 9789811506659
830 0 $a Studies in Big Data, $x 2197-6503 ; $v 8 $3 1256918
856 4 0 $u https://doi.org/10.1007/978-981-15-0663-5
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)