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The Architecture Design of Dynamic Information Acquisition Technology of Crop Yields

机译:作物产量动态信息采集技术的架构设计

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摘要

Lack of access to technical information for existing agricultural production and low efficiency, for example Chinese cabbage, proposes a high efficiency, the precision dynamic cloud acquisition theory and methods, while the use of the Hadoop framework taken MapReduce, Combined with Skyline queries technology, Build a cloud-based agricultural production and marketing information sharing platform, Agricultural production information in real time dynamic acquisition, processing and transmission in a timely manner, agricultural production information analysis, storage calculation result, agricultural production and price forecast information is valid, the timely release, Improve the effectiveness of the data quality of agricultural products and information services, Thus solve the problem to control price volatility of agricultural products, agricultural information collection to release lag, So that scientific and effective decision-making, and the macro-management of the balance between supply and demand of agricultural products.
机译:缺乏获取技术信息,对现有农业生产效率低,例如中国白菜,提出了一种高效率,精度动态云习得理论和方法,而使用采取MapReduce的Hadoop框架,与天际线结合的查询技术,构建基于云的农产品产销信息共享平台,实时动态采集,农业生产信息,处理和传输及时,农业生产信息的分析,存储计算结果,农业生产和价格预测信息是有效的,及时发布,提高农业产品和信息服务的数据质量的有效性,因此解决问题的农产品,农业信息采集,以释放迟延的控制价格波动,做到科学有效的决策,和的宏观管理之间的平衡供应和农产品的需求。

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