农业大数据环境下的鲜切花行情监测系统设计

针对鲜切花种植户盲目种植,时常出现供求不平衡的情况,拟设计一个农业大数据环境下鲜切花行情监测系统。通过昆明国际花卉拍卖交易中心官网提供的数据,作为构建智能预测模型的数据源,构建基于BP算法的价格预测模型;根据鲜切花不同季节不同均价及最高最低价格,制定鲜切花价格等级区间标准,将预测结果输入标准中,产生预警信息。再引进农业大数据技术,设计农业大数据环境下鲜切花行情监测系统。该系统的实施将为农户、散户、种植户、销售商提供准确的信息,确保经济利益最大化,助推云南省鲜切花产业大发展、大繁荣。

Design of Fresh Cut Flowers Quotes Monitoring System under the Background of Agricultural Big Data Environment

In view of the growers' blind planting of fresh cut flowers and the situation of shortage of demand or supply exceeding demand in the market,we are going to design a fresh cut flower market monitoring system under a large agricultural data environment.The data provided by Kunming International Flower Auction Trading Center's official website serves can be using as a data source for building an intelligent fore-casting model to build a price prediction model based on BP algorithm.According to the different season, the average price and the highest and lowest price of fresh cut flowers,we can establish the interval standard of fresh cut flower price grade,and enter the prediction result into the standard to produce early warning information.The new agricultural data technology was introduced to design the fresh cut flower market monitoring system under the large agricultural data environment.The implementation of this system will provide farmers,retail investors,grow-ers and distributors with accurate information to ensure maximum economic benefits and promote the great development and prosperity of the fresh cut flowers industry in Yunnan Province.