Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/2302
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | George, Abraham | - |
dc.date.accessioned | 2023-12-09T08:56:06Z | - |
dc.date.available | 2023-12-09T08:56:06Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | pp. 1-5 | en_US |
dc.identifier.isbn | 9781665452625 | - |
dc.identifier.isbn | 9781665452632 | - |
dc.identifier.uri | https://doi.org/10.1109/ICCCNT54827.2022.9984478 | - |
dc.identifier.uri | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/2302 | - |
dc.description.abstract | The increase in human population has triggered the need to increase the agriculture production worldwide. At the same time climatic conditions, water scarcity and population growth are decreasing the arable land. Hence there is a need to evolve novel ways to improve agricultural produce while utilizing lesser resources. Precision Agriculture combines temporal, spatial, remote, and individual data along with decisions to enable specific automated actions on fields. Big Data is one of the central technologies used in precision farming to store, retrieve and process abstract information. In the article we propose a system, method to efficiently collate, store and process data from multiple sources on a Big Data system and validate the approach. The proposed system will build on the Hadoop framework. © 2022 IEEE. | en_US |
dc.language.iso | en | en_US |
dc.publisher | 2022 13th International Conference on Computing Communication and Networking Technologies, ICCCNT 2022 | en_US |
dc.subject | Big Data | en_US |
dc.subject | Hadoop | en_US |
dc.subject | Precision Agriculture | en_US |
dc.subject | Remote Sensing | en_US |
dc.title | A Big Data Architecture For Heterogeneous Data In Precision Agriculture | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.