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Internet of Things and Analytics for Agriculture, Volume 3

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Internet of Things and Analytics for Agriculture, Volume 3/ edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal.
其他作者:	Pal, Souvik.
面頁冊數:	XIV, 380 p. 125 illus., 86 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Agricultural Economics. -
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. - 1st ed. 2022. - XIV, 380 p. 125 illus., 86 illus. in color.online resource. - Studies in Big Data,992197-6511 ;. - Studies in Big Data,8.

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:

668724
Agricultural Economics.

LC Class. No.: TK5105.8857

Dewey Class. No.: 004.678

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