발간년도 : [2022]
| 논문정보 |
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| 논문명(한글) |
[Vol.17, No.6] A Study on the Price Prediction of Agricultural Products in the Wholesale Market According to the Environment of the Production Area |
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| 논문투고자 |
Hyeon-O Choe, Hyun Yeo, Myeong-Hoon Lee, Jang-Woo Park |
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| 논문내용 |
Recently, as factors determining the price of domestic agricultural products have been diversified, agricultural product price prediction systems have been introduced. However, the current agricultural product price prediction system based on historical auction cost and transaction data is difficult to accurately predict agricultural product prices. Therefore, in order to solve the problem of supply and demand of agricultural products due to changes in the production area environment, this paper created a model to predict how the price of agricultural products will change according to the meteorological environment of the crop production area. Strawberries with the highest added value and the most traded in Korea were selected for prediction. To predict the price of agricultural products, related data were collected and a random forest algorithm was applied. As a result of the study, the RMSE, which indicates the difference between the predicted price and the actual price by the model, was 0.102, which is interpreted as explaining the price of agricultural products relatively well. Accurate price prediction of agricultural products is expected to be useful if the government adjusts the supply of agricultural products and makes it a service for general consumers to use. |
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