Big data thinking tradition turns to modern prescription.

Big data thinking tradition turns to modern prescription.

At present, China is in the transition period from traditional agriculture to modern agriculture. Modern agriculture is characterized by scale, mechanization, standardization, informationization and marketization. Among them, both informatization and marketization involve the application of agricultural big data and Internet in agriculture. Both the supply and demand sides of agricultural products and agriculture-related products have as symmetrical market information as possible in each link, which can not only improve the efficiency of agricultural production, but also organize production for the market, so that the process of input-output-consumption can be realized in the market and improve the economic benefits of agriculture.

? Big data thinking

Big data agriculture is to use the thinking, methods and technologies of big data to solve the micro and macro problems of agriculture and agriculture-related industries. Agricultural big data can serve every link and every field of agriculture. For example, food and food safety issues, modern breeding and improved varieties promotion, the change and improvement of soil information, the design and development of ecological agriculture, market monitoring and price early warning of agricultural products, pest prediction, epidemic monitoring and early warning and prediction of animal husbandry and aquaculture, and so on. The main function of big data is prediction. To sum up, big data agriculture mainly plays a strategic role in three aspects. First, guide production and operation, provide full-service for agricultural production before, during and after delivery, and guide agricultural production and management of agriculture-related enterprises. The second is service decision-making, which provides reference, consultation and guidance services for government decision-making, and provides consultation and guidance for enterprise production, transformation and marketing. The third is to predict the future, such as the future population change trend and grain supply capacity, the impact of future climate change trend on grain production, and the changing trend of market demand for a product. The source of agricultural data can be obtained from the Internet, but the main data originally came from agricultural production and operation and Internet agriculture, which is a major feature of big data agriculture. Every data is hard-won and worth cherishing. Another feature of agricultural big data is its "quasi-public welfare". Because agriculture is a national basic strategic industry, this determines its public welfare side.

"Big Data Agriculture" is based on the big data thinking, starting with the concept, technical principles, cases or potential of big data application in agriculture, comprehensively expounding the application of big data in agriculture, sorting out the wide use of big data and its important role and great value in agricultural modernization, inserting "wings of big data" for agricultural modernization in China, and promoting subversive changes in agriculture.

Promote China to realize agricultural modernization at an early date.

The book is edited by Professor Wen Fujiang, Chairman of the Agricultural Big Data Industry Technology Innovation Strategic Alliance and President of Shandong Agricultural University. It was put forward by Professor Zhu from School of Computer Science and Technology of Fudan University. It lasted for two years and devoted a lot of painstaking efforts and sweat to Professor Wen Fujiang and the relevant authors of the alliance unit. The publication of this book coincides with the release of "Action Plan for Promoting the Development of Big Data" by the State Council, which will play a positive role in studying the technology and application mode of agricultural big data and exploring ways and means for agricultural big data to promote agricultural modernization.

The above is what Bian Xiao shared about the transformation of big data thinking tradition to modernization. For more information, you can pay attention to Global Ivy and share more dry goods.