Training mode of graduate students majored in agricultural big data

Shaomin MU; Fujiang WEN; Changqing SONG

doi:10.11959/j.issn.2096-0271.2016006

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Training mode of graduate students majored in agricultural big data

Special topics:agricultural data | 更新时间：2024-06-03

- Training mode of graduate students majored in agricultural big data
- BIG DATA RESEARCH Vol. 2, Issue 1, Pages: 2016006(2016)
- 作者机构：
  
  山东农业大学农业大数据研究中心，山东泰安 271018
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2016006
  CLC： G643
- Online First：2016-01，
  
  Published：20 January 2016
- 稿件说明：
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Shaomin MU, Fujiang WEN, Changqing SONG. Training mode of graduate students majored in agricultural big data[J]. BIG DATA RESEARCH, 2016, 2(1): 2016006.
DOI：

Shaomin MU, Fujiang WEN, Changqing SONG. Training mode of graduate students majored in agricultural big data[J]. BIG DATA RESEARCH, 2016, 2(1): 2016006. DOI： 10.11959/j.issn.2096-0271.2016006.

摘要

大数据应用尚处于初级阶段，农业大数据又是多学科的交叉融合产物，相应人才的缺乏是其研究和应用的重要瓶颈。简要介绍了农业大数据的概念、处理技术及其应用。并结合农业大数据的特点，针对目前人才严重缺乏的现状，提出了农业大数据研究生培养的重要性，并在此基础上，探讨了培养方案的要素以及人才培养模式。

Abstract

Big data application is still in its primary stage

and agricultural big data is the integrated products of many different subjects

so the insufficiency of big data specialists or experts is an important bottle-neck of big data application.The concept of agricultural big data

the processing technology and its application were briefly introduced.Combining the characteristics of the agricultural big data

aiming at the situation of agricultural big data talent lack

the importance of graduate students majored in agriculture big data was discussed.On this basis

the essence of training scheme and the training mode of graduate students were discussed.

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references

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