贵州农产品种植基地预期产值数据集
收藏资源简介:
1、数据采集:从采集农产品种植基地的相关信息,包括:所属生产基地名称、产品类别、产品名称、种植规模(亩)、产量(斤)、和预计上市时间;同时采集往期相同产品类别及名称的市场单价(元/斤)数据; 2、数据处理:1)以采集到的各基地的产量(斤)为基础数据,结合对应产品的往期市场单价(元/斤),计算出各基地单个产品的预期产值;2)依产品预计上市时间定季度,将单个产品预期产值归入对应季度;3)按季度汇总同一地区基地产值,得地区季度预计收入(1条/地区),命名(地区)产值;4)按季度汇总同产品类别基地产值,得产品类别季度预计收入(1条/产品),命名(产品)产值;5)按季度汇总同一基地产品产值,得基地季度预计收入,命名(基地)产值;6)若产品往期单价异常波动,可用近3个月或半年平均单价替代; 3、数据应用:生产基地依自身及产品季度收入调计划、安排资金;市场主体结合地区与产品数据定策略,促协同发展。
1. Data Collection: Collect relevant information from agricultural product planting bases, including: name of the affiliated production base, product category, product name, planting scale (mu), yield (jin), and estimated time to market; meanwhile, collect historical market unit price (yuan/jin) data for products of the same category and name. 2. Data Processing: 1) Based on the collected yield data (in jin) of each base and the historical market unit price (yuan/jin) of the corresponding product, calculate the expected output value of a single product for each base; 2) Classify the expected output value of a single product into the corresponding quarter based on the product's estimated time to market; 3) Aggregate the output values of bases in the same region by quarter to obtain the regional quarterly estimated revenue (1 entry per region), named (Regional) Output Value; 4) Aggregate the output values of bases of the same product category by quarter to obtain the product category quarterly estimated revenue (1 entry per product), named (Product) Output Value; 5) Aggregate the output values of products from the same base by quarter to obtain the base's quarterly estimated revenue, named (Base) Output Value; 6) If there is an abnormal fluctuation in the historical unit price of a product, the average unit price of the past 3 months or 6 months can be used as a substitute. 3. Data Application: Production bases adjust their plans and arrange funds based on their own and their products' quarterly revenue; market entities formulate strategies and promote coordinated development by combining regional and product data.




