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机构地区:[1]山东第一医科大学(山东省医学科学院)医学信息工程学院,山东泰安271000 [2]泰安市科学技术情报研究所,山东泰安271000 [3]山东农业大学信息科学与工程学院,山东泰安271000
出 处:《智慧农业导刊》2021年第1期33-35,38,共4页JOURNAL OF SMART AGRICULTURE
基 金:山东省泰安市科技发展计划项目(编号:2018GX0060)。
摘 要:随着社会信息化进程的不断加快,我国的农业技术应用也随之进入了信息大数据时代。当前,大数据技术在互联网经济浪潮中取得了丰硕的成果,但在我们国家农业领域的应用还处于初始的低级阶段。或许是因为农业领域的问题比较复杂,并且农业数据存在明显的多样性和异质性,再一个大数据本身存在海量采集和海量存储的问题,这些因素都导致大数据技术在农业领域的深度应用面临许多困难和挑战。文章旨在研究大数据技术在农业领域的应用问题。文章简要介绍了农业大数据发展的背景和发展农业大数据的意义,总结了大数据的含义。同时,对农业大数据在农业资源管理、农业生产过程管理、农业产品和农业食品安全管理、农业生态环境管理等方面的主要应用进行了总结和分析。在实验部分,文章设计并实现了一个基于Hadoop的大数据技术农业应用系统平台。通过实验表明,文章设计的大数据技术农业应用系统平台性能能够满足需要。s:With the accelerating process of social informatization,the application of agricultural technology in China has entered the era of big data.At present,big data technology has achieved fruitful results in the wave of Internet economy,but its application in our country's agricultural field is still in the initial low-level stage.At present,problems in the field of agriculture are complex,there is obvious diversity and heterogeneity of agricultural data,and another big data itself has the problem of massive collection and storage.These factors have led to many difficulties and challenges in the in-depth application of big data technology in the field of agriculture.This paper aims to study the application of big data technology in the field of agriculture,briefly introduce the background and significance of the development of agricultural big data,and summarize the meaning of big data.At the same time,the main applications of agricultural big data in agricultural resource management,agricultural production process management,agricultural products and agricultural food safety management,agricultural ecological environment management are traced and analyzed.In the experimental part,this paper designs and implements an agricultural application system platform of big data technology based on Hadoop.The experiments show that the performance of the agricultural application system platform of big data technology designed in this paper can meet the needs.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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