東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Internet of things and analytics for...

Pattnaik, Prasant Kumar.

FindBook

Google Book

Amazon

博客來

Internet of things and analytics for agriculture.. Volume 3

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Internet of things and analytics for agriculture./ edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal.
其他作者:	Pattnaik, Prasant Kumar.
出版者:	Singapore :Springer Singapore : : 2022.,
面頁冊數:	xiv, 380 p. :ill., digital ;24 cm.
內容註:	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
標題:	Artificial intelligence - Agricultural applications. -
電子資源:	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

Internet of things and analytics for agriculture.. Volume 3
LDR:02636nmm a2200349 a 4500 001 2296040
003 DE-He213
005 20211110071105.0
006 m d
007 cr nn 008maaau
008 230324s2022 si s 0 eng d
020 $a 9789811662102 $q (electronic bk.)
020 $a 9789811662096 $q (paper)
024 7 $a 10.1007/978-981-16-6210-2 $2 doi
035 $a 978-981-16-6210-2
040 $a GP $c GP
041 0 $a eng
050 4 $a S494.5.D3 $b I58 2022
072 7 $a THR $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a THR $2 thema
072 7 $a GPFC $2 thema
082 0 4 $a 630.208563 $2 23
090 $a S494.5.D3 $b I61 2022
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)