4 pages., Online via AgEconSearch, Authors explain the basic concepts of Internet+ and big data, analyze the main problems in the application of big data technology in agricultural informationization, summarize corresponding solutions from the aspects of government guidance, financial input, open sharing of agricultural big data, big data storage and processing, data mining, etc., and describe prospects ahead in the province.
Argues that the knowledge and ability to build and describe collections needs to be spread among a larger distributed group of participants in the face of two trends: (1) Traditional methods of organizing,k describing and providing access to documents are being overwhelmed by the ever-increasing number of digitized materials. (2) Cultural and indigenous knowledge is disappearing as environments and people cease to exist. Suggests three mechanisms.
