JP Journal of Heat and Mass Transfer
Special Issue, Advances in ICT-Convergence, Pages 19 - 30
(September 2020) http://dx.doi.org/10.17654/HMSI20019 |
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AUXILIARY SYSTEM FOR PREDICTION OF TRADE VOLUME USING TOMATO BIG DATA AND DATA MINING METHODOLOGY
Changgyun Kim, Chaemin Im and Sekyoung Youm
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Abstract: This study provides a dashboard for predicting the past trade volume by using the historical data of the optimal volume according to the price and quantity when sending the tomatoes volume from the APC of the agricultural cooperatives to the wholesale market. Build a system to predict tomato volume. The analytical data analyzes the tomato trade volume of the metropolitan cities in Korea. The analysis data was analyzed using historical data on tomato trade volume in each region from 2015 to 2018, and data analysis using time series on the volume and price was carried out. |
Keywords and phrases: trade volume prediction, tomato big data, data mining, regression, agricultural products processing center.
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