农业大数据研究生培养模式探索

doi:10.11959/j.issn.2096-0271.2016006

Big Data Research ›› 2016, Vol. 2 ›› Issue (1): 53-58.doi: 10.11959/j.issn.2096-0271.2016006

• Special topics:agricultural data • Previous Articles Next Articles

Training mode of graduate students majored in agricultural big data

Shaomin MU,Fujiang WEN,Changqing SONG

Agricultural Big Data Research Center,Shandong Agricultural University,Taian 271018,China

Online:2016-01-20 Published:2017-03-22
Supported by:
The National Key Technology R＆DProgram(2013BAD15B02);Public Sector (Agriculture) Scientific Research Funding Program(201303107);Scientific and Technical Innovation Project of CAAS(CAAS-ASTIP-201X-AII-04)

Abstract

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.

Key words: agricultural big data, machine learning, big data processing technology, training mode of graduate students

CLC Number:

G643

Shaomin MU, Fujiang WEN, Changqing SONG. Training mode of graduate students majored in agricultural big data[J]. Big Data Research, 2016, 2(1): 53-58.

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Training mode of graduate students majored in agricultural big data

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