基于大数据的农产品市场监测预警研究

Big Data-Driven Detection and Early-warning Method in Agricultural Product Market

随着大数据的快速发展,大数据与各行业深度融合,切实推动了各行业的快速发展。利用大数据的优势,建立面向农产品市场的监测预警模型,以便对农产品市场供需进行动态监测和预测,做到及时预警。以奶产品产量预测为例进行实证分析,验证监测预警方法的有效性。农产品市场大数据监测预警模型可以有效推动农产品市场供给侧改革,并可以推广到其他领域,具有较好的应用和推广价值。

With the rapid development of big data, various industries can be effectively promoted by incorporating big data. Based on the advantages of big data, this paper presents a theoretical framework for detection and early-warning in agricultural products market,to makes dynamic detection and prediction for the supply and demand of agricultural products market, and to achieve timely early-warning. Under the theoretical framework, the milk production prediction is taken as an example to verify the effectiveness of the theoretical framework. The big data-driven detection and early warning framework can effectively promote the supply side reform of agricultural products market, and can be extended to other fields.