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Research and Exploration on the Application of Large data in Modern Swine Industry

机译:大型数据在现代猪工业中的应用研究与探索

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China is the world's largest pig country, the number of livestock and meat production are ranked first in all countries, but China is far from a big pig. The main reason is the lack of sound technical support system and imperfect market information system. This paper introduces large data into the dynamic management of swine industry, this paper analyzes the purpose of introducing large data management, puts forward the main construction content, expounds the problems needing to be solved, expounds the application of large data dynamic management technology of information, collects the large amount of data in the chain of prenatal, production and postpartum, predicts the market price, reduces the risk of breeding, and ensures the safety Improve production efficiency, so that the pig industry in China from the big pig into a powerful pig. Along with our country in intensive livestock production, scale and specialized level unceasing enhancement, the livestock not only promote the rapid development of our country agriculture and rural economy, also provides consumers with meat, eggs, milk and so on security, plenty of agricultural and sideline products, greatly enriched the people table and basket. In particular, the pig industry has become the world's largest pig country, with the largest amount of stocks and meat. However, our country is far from being a pig country, because of the lack of perfect technical support system. Second, the market information system is not sound. This often causes the market volatility, the pig industry is difficult to develop smoothly. In particular, there are no pollution-free pigs. The state has standards, certification system and management system, but there is no supervision system, no policy support, no price advantage. Therefore, farmers are not motivated, consumers are not trustworthy, management has no tracking mechanism, and the country has no accurate data statistics. Therefore, big dynamic data management technology, using information collection before, during or after the chain of large amounts of data, analysis, mining, development and utilization, not only can the pollution-free pig, all-round, full coverage in the whole process of management, and to make an accurate prediction of production of live pigs breeding stock for master aquaculture, prediction markets, reduce the risk of breeding, to ensure the safety of products, improve production efficiency.
机译:中国是世界上最大的猪国家,牲畜和肉类产量的数量在所有国家排名第一,但中国远离大猪。主要原因是缺乏合理的技术支持系统和不完美的市场信息系统。本文介绍了大量数据进入猪行业的动态管理,本文分析了介绍大型数据管理的目的,提出了主要的建设内容,阐述了需要解决的问题,阐述了大数据动态管理技术的应用,收集产前,生产和产后链中的大量数据,预测市场价格,降低育种风险,并确保安全提高生产效率,使中国猪工业从大猪进入一个强大的猪。随着我国密集的畜牧业生产,规模和专业水平不断提升,畜牧业不仅促进了我国农业和农村经济的快速发展,还为消费者提供了肉,鸡蛋,牛奶等安全,充足的农业和副主产品,大大丰富了人们的桌子和篮子。特别是,猪业已成为世界上最大的猪国家,股票和肉类最多。然而,由于缺乏完善的技术支持系统,我国远非成为猪国家。其次,市场信息系统没有声音。这常常导致市场波动,猪行业难以发展顺利。特别是,没有无污染的猪。国家有标准,认证制度和管理系统,但没有监督系统,无政府支持,没有价格优势。因此,农民没有动力,消费者不值得信赖,管理层没有跟踪机制,而该国没有准确的数据统计数据。因此,大动态数据管理技术,使用信息收集之前,期间或之后的大量数据,分析,采矿,开发和利用,不仅可以无公害猪,全面,全面覆盖全部管理进程,并准确预测产量养猪养殖库存,用于养殖水产养殖,预测市场,降低育种风险,确保产品的安全性,提高生产效率。

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