People can predict important things of social economy through the analysis of the big data in big data era. Big data is further applied in the field of agricultural ecological environment monitoring and management. Our country demand to basic implement complete coverage of environment quality and major pollution sources, and to share the monitoring data of various levels system interconnection, to build ecological environment monitoring data platform, and then to develop big data relevance analysis in 2020. The article studied and discussed the application of agricultural ecological environment protection in big data relevance analysis, and analyzed the relevance of agri-cultural environment and resources. It put forward that soil, water and atmosphere has certain relevance, and big data and cloud computing based on resources of correlation analysis of the agricultural ecological environment have the feasibility. Based on analyzing the current situation of agricultural ecological environment monitoring, the author refer to that although some departments, such as environmental protection, science and technology, integration of agriculture and the Chinese academy of sciences ,collected a large amount of data, and using meteorology, remote sensing and statistical model to of monitor the ecological environment, these data and model were relatively inde-pendent, and didn't get the most effective integration, the results of monitoring data was still lack of unified analy-sis, comparison and evaluation. The article prospects that the big data analysis in the application of agricultural ec-ological environment. And it put forward that in the era of big data, decision will more depend on the support of da-ta and analysis, people have to find out the causality between data and inevitability using big data relevance analy-sis on the different information, and guarantee for the decision of ecological environment protection scientifically.%大数据时代,通过对海量数据的分析实现人类社会经济重要领域的预测.大数据在农业生态环境监测与管理领域的应用不断深入.我国要求到2020年基本实现环境质量、 重点污染源、 生态状况监测全覆盖,各级各类监测数据系统互联共享,构建生态环境监测大数据平台,开展大数据关联分析.文章对资源关联性大数据分析在农业生态环境保护中的应用进行研究与探讨,对农业环境资源关联性进行了分析.另外,对我国农业生态环境监测现状进行了分析,指出当前我国有关农业生态环境数据与模型相对独立,并没有得到最为有效的整合,对数据监测的结果仍缺乏统一的分析、 对比及评价.该文对大数据分析在农业生态环境保护的应用进行了展望,指出大数据时代下决策的制定将越来越依托于数据与分析的支撑,利用大数据对不同信息进行关联性分析,找出数据间的因果性与必然性,为生态环境保护科技决策提供保障.
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