ONLINE AGRICULTURAL PRICE PREDICTION METHOD AND SYSTEM

The present invention relates to a method and a system for online agricultural product price prediction that may determine an optimal point of time of agricultural product shipment. The method for online agricultural product price prediction comprises collecting a wholesale price of a specific agric...

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Bibliographische Detailangaben
Hauptverfasser:	SONG, SEOK IL, GOO, BON GEUN, KWAK, YUN SIK
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	CALCULATING COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	The present invention relates to a method and a system for online agricultural product price prediction that may determine an optimal point of time of agricultural product shipment. The method for online agricultural product price prediction comprises collecting a wholesale price of a specific agricultural product for a period of time from day to day, analyzing the wholesale price with a mixed regression model having a plurality of models in which regression coefficient are different from each other, and calculating at least one among a tomorrow′s predicted wholesale price or a predicted wholesale price after one week. The method may enable a farmer or an agricultural products processing center (APC) person to effectively determine an optimal point of time of agricultural product shipment. 본 발명은 최적의 농산물 출하 시점을 결정할 수 있는 온라인 농산물 가격 예측 방법 및 시스템에 관한 것으로, 온라인 농산물 가격 예측 방법은 특정 농산물의 일정 기간 도매가격을 일자별로 수집하고, 회귀 계수가 다른 복수의 모형을 갖는 혼합회귀모형으로 도매가격을 분석하여 농산물의 내일 내지 일주일 후 중 적어도 어느 하나의 도매예측가격을 산출한다.