农贸市场价格数据

农贸产品的价格趋势预测，可以帮助菜农和市场选择性地调整种植和采购策略，减少损失，降低风险。1、数据采集：利用国研的农贸市场智慧追溯源秤，在经营户在日常进行交易的时候就能采集品种、价格、重量等数据；2、数据处理：对采集到的数据通过一系列规则剔除异常数据、异常价格之后，再按照品种合并，分析农贸市场价格数据；3、算法加工：根据具体品类的平均价，结合去年同期、上月同期、上周同期、前一天的同品类平均价，运用回归算法计算出价格趋势预测；4、数据应用：价格趋势预测，可以帮助菜农和市场选择性地调整种植和采购策略，减少损失，降低风险。

Price trend prediction for agricultural and sideline products can assist vegetable farmers and market operators in selectively adjusting their planting and procurement strategies, thereby reducing losses and mitigating risks. 1. Data Collection: Guoyan's smart traceability scales for agricultural wholesale markets are utilized to collect data including product variety, transaction price, and weight when vendors conduct daily transactions. 2. Data Processing: A series of rules are applied to the collected data to eliminate abnormal data and abnormal prices, followed by merging the data by product category and analyzing agricultural market price data. 3. Algorithm Processing: Based on the average price of a specific product category, combined with the average prices of the same category during the same period last year, same period last month, same period last week, and the previous day, regression algorithms are used to calculate price trend predictions. 4. Data Application: The price trend prediction can help vegetable farmers and market operators selectively adjust their planting and procurement strategies, reducing losses and lowering risks.

搜集汇总

数据集介绍

特点

该数据集为农贸市场价格数据，由国研软件股份有限公司提供，包含249条记录，每日更新。数据结构包括日期、市场名称、商品信息、价格数据及价格趋势预测等字段，适用于农贸产品的价格趋势预测，帮助菜农和市场调整种植和采购策略。