Data Linking and Mining for Agricultural Exchange Systems

加拿大大草原和萨斯喀彻温省是主要作物生产中心。加拿大谷物， 豆类和油料种子被运往世界各地。农民越来越多地投资于智能 农业产品，帮助他们更有效地利用水种子等投入， 和肥料。然而，缺乏工具来帮助生产者管理他/她的销售 农产品。农业交易所公司（AgEx）是一家相对年轻的公司，在萨斯喀彻温省成立 通过提供自动化的基于Web的交易市场和数据存储库来满足这一需求 农业信息。将此交易信息与其他数据库（如土壤或 天气信息可以使AgEx为生产者和购买者提供实质性的增值，如果 可以在各种数据源之间发现相关性。该项目将对相关数据进行编目 源，并使用至少一个源执行概念集成和数据挖掘实验的证明。提供 加拿大农民与工具，现在常用的其他业务部门在世界各地将提供 使其具有关键的竞争优势。

The Canadian Prairies and Saskatchewan in particular are centres for staple crop production. Canadian grains, pulses and oil seed are shipped to destinations all over the world. Farmers are increasingly investing in smart agricultural products to help them manage their costs by more efficiently applying inputs such as water seed and fertilizer to their land. However, there are a shortage of tools to help a producer manage the sale of his/her agricultural product. Agriculture Exchange Inc (AgEx) is a relatively young company in Saskatchewan founded to serve this need by providing an automated web-based marketplace and data repository for transactional agricultural information. Cross linking this transactional information with other databases such as soil or weather information might allow AgEx to provide substantial value add to producers and buyers alike, if correlations can be discovered amongst the various data sources. This project will catalogue relevant data sources, and perform a proof of concept integration and data mining experiment with at least one. Providing Canadian farmers with the tools now commonly used in other business segments around the world will provide them with a key competitive advantage moving forward.