Integrated Automated Agricultural Operations Using Multiple Technologies
DOI:
https://doi.org/10.26438/ijcse/v6i5.800803Keywords:
IOT, Sensor, Cloud Computing, Wireless Sensor NetworkAbstract
This is a kind of technology is applicable to all type of farm land cultivation. This technology observe actual status of the land and its environment. Based on the observed data it enrich or improve the farmland cultivation. In this system its a combinations of IOT, Big data analytics, wireless sensor network technologies. In Indian scenario all the fertile land are cultivated into an manual farm. So, the yield of the land should be improved because all data's are observed from sensor as well as traditional knowledge. The proposed system observe the data from environment, soil, water and fertilizer. After the collection of information it will be analyzed. Based on the analysis we take a decision for cultivating the crop. It also take the traditional knowledge for analyzing the cultivation. The proposed system is working in the form of integrated environment. It work like an automated system. In the proposed system consist of the various sensor which are fixed into the fertile land. So, this sensor give the nature of the farmland. The proposed system improve the agriculture cultivation. We can apply this system into an all type of farmland. Whether the land is arid or water rich environment, it can be possible to give the good result.
References
[1] Indian Government Population Census Report 2011.
[2] Annual Report 2017-2018 by Department of agriculture cooperation and Farmers welfare,India.
[3] S.R.Prathiba,Anupama Hongal,M.P.Jyothi “IOT Based Monitoring System in Smart Agriculture”.
[4] In the Proceedings of the 2017 International Conference on Computer Science and Engineering, India. Published by IEEE,p-81-84.
[5] 4.Ministry of Environment,forest and Climate change Annual report.
[6] Annual Report 2017-2018 by Ministry of Environment, Forest and Climate Change.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
