基于百度指数与人工智能的短期农产品价格预测

Short-term agricultural product price prediction method based on Baidu index and artificial intelligence

结合百度指数和农产品价格的季节性,提出一种额外输入季节性自回归综合移动平均模型来对农产品价格进行预测.采集宁夏西吉县马铃薯1826个日均单价数构建各类模型.对比实验表明,额外输入值季节性自回归综合移动平均模型预测值与真实价格高度吻合,可信度高,可为其他农产品价格预测提供参考依据.

A seasonal autoregressive integrated moving average model combined with the Baidu index and the seasonality of agricultural prices is proposed to predict agricultural prices.Various models were constructed by collecting 1826 average daily unit price data of potatoes in Xiji County,Ningxia province.The comparative experiments show that the proposed model is highly consistent with the real price,has high reliability,which can provide a reference for the price forecast of other agricultural products.