A preliminary analysis model of big data for prevention of bioaccumulation of heavy metal-based pollutants: focusing on the atmospheric data analyses for smart farm

Abstract

It is expected that the building-type fish or agricultural farms will appear in towns or suburbs of the Republic of Korea in the near future. The advanced water-circulating systems and LED technology are already in use helping the farmers to settle in these areas. Nevertheless, there are some other requirements for a successful operation of the farm. One of the surrounding factors is the atmospheric conditions which often have an impact on the growth of fishes or produce. This research describes a process of obtaining the analytical results by visualizing the data of atmospheric environment of the Gangnam District, one of the busiest areas in the capital city of Seoul. The data was used to create a model for the preliminary big data analysis which will be appropriate for the establishment of adequate city-oriented farms. Also, this model can be used to establish countermeasures to suppress bioaccumulation of heavy metals in the farm-grown fishes or produces. The basic research process involves visualization 1

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