{"title":"基于ARIMA模型的生鲜农产品需求预测","authors":"Haoxiong Yang, Jing Hu","doi":"10.19026/AJFST.5.3172","DOIUrl":null,"url":null,"abstract":"The price of fresh agricultural products changes up and down recently. In order to accurately forecast the agricultural precuts demand, a forecasting model based on ARIMA is provided in this study. It can be found that asymmetric information and unbalance about supply and demand exist in the market through analyzing the reasons. The ARIMA model for fresh agricultural products can forecast the demand in order to providing some guides for farmers. The results show that the predictive value are in good condition when compare with the actual data. Then this model is available.","PeriodicalId":12775,"journal":{"name":"广东农业科学","volume":"118 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Forecasting of Fresh Agricultural Products Demand Based on the ARIMA Model\",\"authors\":\"Haoxiong Yang, Jing Hu\",\"doi\":\"10.19026/AJFST.5.3172\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The price of fresh agricultural products changes up and down recently. In order to accurately forecast the agricultural precuts demand, a forecasting model based on ARIMA is provided in this study. It can be found that asymmetric information and unbalance about supply and demand exist in the market through analyzing the reasons. The ARIMA model for fresh agricultural products can forecast the demand in order to providing some guides for farmers. The results show that the predictive value are in good condition when compare with the actual data. Then this model is available.\",\"PeriodicalId\":12775,\"journal\":{\"name\":\"广东农业科学\",\"volume\":\"118 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"广东农业科学\",\"FirstCategoryId\":\"1091\",\"ListUrlMain\":\"https://doi.org/10.19026/AJFST.5.3172\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"广东农业科学","FirstCategoryId":"1091","ListUrlMain":"https://doi.org/10.19026/AJFST.5.3172","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting of Fresh Agricultural Products Demand Based on the ARIMA Model
The price of fresh agricultural products changes up and down recently. In order to accurately forecast the agricultural precuts demand, a forecasting model based on ARIMA is provided in this study. It can be found that asymmetric information and unbalance about supply and demand exist in the market through analyzing the reasons. The ARIMA model for fresh agricultural products can forecast the demand in order to providing some guides for farmers. The results show that the predictive value are in good condition when compare with the actual data. Then this model is available.
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