Big Data Platform Development for Environmental Monitoring in Plant Factory
Daehee Park1, Wei Liu2, Sangwon Lee3
1Daehee Park, Department of Information & Communication Engineering, Wonkwang University, Iksan, Republic of Korea.
2Wei Liu, Department of Mathematics & Computer Science, Hengshui University, Hebei, China.
3Sangwon Lee, Department of Computer & Software Engineering, Institute of Convergence Creativity, Wonkwang University, Iksan, Korea.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 445-449 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0097028419/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: LED plant factory is a kind of labor-saving production, which is seldom controlled by natural conditions. Based on the mass data of the plant factory, this paper designed a big data management platform which combined with Hadoop distributed cluster and traditional MySQL database .The temperature, humidity, CO2 concentration and illuminance in plant factory can be transferred to the big data platform by wireless transmission network .And then the mass data will be stored, retrieved, and managed by Hadoop framework and the MapReduce programming model . Analysis result can be used to monitor plant growth environment and increase crop yield.
Keywords: Big Data, Environmental Monitoring, Plant Factory, Platform Development, Smart Factory.
Scope of the Article: Communication