Six ways to realize Internet agriculture

Six ways to realize Internet Agriculture: 1. Cross-border agriculture should improve agricultural added value and actively explore industrial combination. For example, the combination of agriculture and tourism gives birth to sightseeing agriculture; The combination of agriculture and finance gives birth to rural finance; The combination of agriculture and cultural industry gives birth to cultural agriculture and so on. The use of "Internet" technology to build platforms can deeply develop these cross-border agricultural business models, so as to enhance the added value of agricultural industry. 2. Customized agriculture uses "Internet" technology to build a platform between consumers and producers, so that consumers' demands are directly communicated to producers, and producers inform consumers of the production process and quality, realizing the information equivalence between production and consumption, and solving the circulation problem of traditional agricultural products.

3. Platform agriculture platform agriculture is actually a resource-integrated agriculture, which integrates land, labor force, agricultural production resources and so on through the platform, agricultural practitioners then realize supply-demand linkage or resource sharing according to their own supply and demand of resources. There is a platform for agriculture is the e-commerce platform. (1) rural e-commerce, rural purchasing farmers pocket gradually rich, the demand for brand goods gradually increased, but the lack of shopping channels. 1 platform development model: Ali Village Tao, JD.com Daigou model. This needs to apply to the platform e-commerce, at the same time have a certain threshold. 2 independent business model: Focus on the needs of local users, concentrated to the major platforms under the purchase order model, this model can lead more rural internet new crowd to join. (2) JD, Ali Cainiao and other major e-commerce platforms, in order to lay out rural e-commerce, are promoting county-to-village logistics through various modes, which are valuable for agricultural products entering cities and industrial products entering the countryside.

4. Precision and intelligent agriculture use Internet of things technology, Big Data Technology and intelligent technology to realize intelligent farming and management, etc. , to solve the problems of extensive management and poor anti-risk ability existing in our country's agriculture. At the same time through the construction of intelligent facilities and equipment, intelligent management system, intelligent agricultural factory to achieve intelligent, accurate, fine production management. (1) the accurate prediction of agricultural product market and output through data collection, processing, analysis, and then according to the past data combined with the current quarter data to integrate analysis, we can accurately predict the market capacity, demand, and price of future products, break the cycle of “Cheap grain hurts farmers”, and fundamentally solve the problem of agricultural Information asymmetry. (2) precision marketing precision marketing refers to through the survey of consumer preferences, and then through big data to conduct regular analysis, delineate the potential consumer groups of products, through the personalized comparison of these groups, carry out the characteristic marketing service. 5. Safe Agriculture (1) the traceability system of agricultural product quality, which realizes the whole process traceability information management from farmland to dining table. Is the regional agricultural product quality and safety information unified release and inquiry platform, according to the agricultural product“One thing, one code” standard, consumers can use SMS, phone, POS machine, online inquiry, smartphone scanning two-dimensional code, bar code and other inquiry methods, accurate understanding of agricultural products from the production, processing, logistics, warehousing, sales and other information in the whole process, select assured products.

Data agriculture in the internet age, data will become the most important resource, the collection, mining, connection, analysis and application of data, can provide effective guidance for enterprise production and management. Data agriculture is to know the information of raw material production, product processing, market transaction and consumption feedback through big data analysis, so as to guide the production and management of agricultural practitioners. Generally speaking, the“Data” in big data has four basic characteristics: mass, real-time, diversity and dynamic change, and these four basic characteristics also make it possible to use big data to carry out a series of analysis and mining work.