农业大数据研究生培养模式探索  

Training mode of graduate students majored in agricultural big data

作　　者：牟少敏[1] 温孚江[1] 宋长青[1] 

机构地区：[1]山东农业大学农业大数据研究中心,山东泰安271018

出　　处：《大数据》2016年第1期53-58,共6页Big Data Research

基　　金：国家科技支撑计划基金资助项目(No.2013BAD15B02);公益性行业(农业)科研专项经费基金资助项目(No.201303107);中国农业科学院科技创新工程基金资助项目(No.CAAS-ASTIP-201X-AII-04)~~

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。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.

关 键 词：农业大数据 机器学习 大数据处理技术 研究生培养模式 

分 类 号：G643[文化科学—高等教育学]