Application and Research of Key Technologies of Big Data for Agriculture

IF 0.9 Q4 MANAGEMENT
Lei Yang, Huijuan Ye
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引用次数: 0

Abstract

With the rapid development of science and technology, advanced technical means such as information technology have been widely used in various fields of society, realizing the reform and innovation in different fields. Mage data technology, Internet, cloud computing technology and so on have changed people's production and lifestyle, and society has entered a new era of mage data. Combined with the current situation of agricultural development, we should create a mage data training base for enterprises, build a perfect training system, carry out cooperation with colleges and universities, vigorously introduce professional talents, and spare no effort to promote the effective application of mage data technology in the agricultural field. This paper analyzes the importance of the application of mage data technology in the agricultural field, mage data mining analysis provides decision support, and the specific application of mage data technology in the agricultural field. Finally, through k-means algorithm, the industrial scale can be increased to more than 75%.
农业大数据关键技术的应用与研究
随着科学技术的飞速发展,信息技术等先进技术手段被广泛应用于社会各个领域,实现了不同领域的改革创新。大数据技术、互联网、云计算技术等改变了人们的生产生活方式,社会进入了大数据新时代。结合当前农业发展形势,应创建企业法特数据培训基地,构建完善的培训体系,与高校开展合作,大力引进专业人才,全力推动法特数据技术在农业领域的有效应用。本文分析了法测数据技术在农业领域应用的重要性,法测数据挖掘分析提供的决策支持,以及法测数据技术在农业领域的具体应用。最后,通过k-means算法,可将产业规模提升至75%以上。
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来源期刊
CiteScore
1.90
自引率
43.80%
发文量
59
期刊介绍: The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.
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