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Internet of things and analytics for...

Pattnaik, Prasant Kumar.

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Internet of things and analytics for agriculture.. Volume 3

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 : : 2022.,
Description:	xiv, 380 p. :ill., digital ;24 cm.
[NT 15003449]:	IoT: Foundations and Applications -- Functional Framework for IoT-based agricultural system -- Field monitoring and automation system -- Agriculture Sensor Network: Infrastructure, protocols and standards -- Implementation of sensors and RFID for disease and pest control -- Sensor-based Precision agriculture, Sensor data acquisition.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence - Agricultural applications. -
Online resource:	https://doi.org/10.1007/978-981-16-6210-2
ISBN:	9789811662102

Internet of things and analytics for agriculture.. Volume 3
Internet of things and analytics for agriculture.Volume 3[electronic resource] /edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal. - Singapore :Springer Singapore :2022. - xiv, 380 p. :ill., digital ;24 cm. - Studies in big data,v. 992197-6511 ;. - Studies in big data ;v. 99..

IoT: Foundations and Applications -- Functional Framework for IoT-based agricultural system -- Field monitoring and automation system -- Agriculture Sensor Network: Infrastructure, protocols and standards -- Implementation of sensors and RFID for disease and pest control -- Sensor-based Precision agriculture, Sensor data acquisition.

The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.

ISBN: 9789811662102

Standard No.: 10.1007/978-981-16-6210-2doiSubjects--Topical Terms:

3299845
Artificial intelligence
--Agricultural applications.

LC Class. No.: S494.5.D3 / I58 2022

Dewey Class. No.: 630.208563

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245 0 0 $a Internet of things and analytics for agriculture. $n Volume 3 $h [electronic resource] / $c edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2022.
300 $a xiv, 380 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in big data, $x 2197-6511 ; $v v. 99
505 0 $a IoT: Foundations and Applications -- Functional Framework for IoT-based agricultural system -- Field monitoring and automation system -- Agriculture Sensor Network: Infrastructure, protocols and standards -- Implementation of sensors and RFID for disease and pest control -- Sensor-based Precision agriculture, Sensor data acquisition.
520 $a The book discusses one of the major challenges in agriculture which is delivery of cultivate produce to the end consumers with best possible price and quality. Currently all over the world, it is found that around 50% of the farm produce never reaches the end consumer due to wastage and suboptimal prices. The authors present solutions to reduce the transport cost, predictability of prices on the past data analytics and the current market conditions, and number of middle hops and agents between the farmer and the end consumer using IoT-based solutions. Again, the demand by consumption of agricultural products could be predicted quantitatively; however, the variation of harvest and production by the change of farm's cultivated area, weather change, disease and insect damage, etc., could be difficult to be predicted, so that the supply and demand of agricultural products has not been controlled properly. To overcome, this edited book designed the IoT-based monitoring system to analyze crop environment and the method to improve the efficiency of decision making by analyzing harvest statistics. The book is also useful for academicians working in the areas of climate changes.
650 0 $a Artificial intelligence $x Agricultural applications. $3 3299845
650 0 $a Internet of things. $3 2057703
650 1 4 $a Cyber-physical systems, IoT. $3 3386699
650 2 4 $a Professional Computing. $3 3201325
650 2 4 $a Artificial Intelligence. $3 769149
650 2 4 $a Agricultural Economics. $3 895207
650 2 4 $a Sustainable Development. $3 900447
700 1 $a Pattnaik, Prasant Kumar. $3 3308615
700 1 $a Kumar, Raghvendra. $3 3444522
700 1 $a Pal, Souvik. $3 3444523
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in big data ; $v v. 99. $3 3590361
856 4 0 $u https://doi.org/10.1007/978-981-16-6210-2
950 $a Engineering (SpringerNature-11647)