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.
20 pages., Via online from the University of Illinois website., Authors' review provided an overview of the data sources, computational methods, and applications of text data in the food industry. Applications of text data analysis were illustrated with respect to food safety and food fraud surveillance, dietary pattern characterization, consumer-opinion mining, new-product development, food knowledge discovery, food supply-chain management, and online food systems.
