Agriculture six big areas of big data urgently need to promote

With the development of agriculture, especially the development of rural e-commerce, agriculture upstream and downstream of agricultural sales, agricultural production, agricultural product circulation data, as well as with the agricultural linkage between the land flow, meteorology, soil, hydrology, and other data, have been a large-scale accumulation of precipitation, these big data will become the agricultural decision-making "" brain "". brain".

Following rural e-commerce, agricultural big data has gained the attention of the decision-making level.

In the recent State Council issued the Outline of Action for the Promotion of Big Data Development, it is required to promote the *** enjoyment and opening up of agricultural data resources in various regions, industries and fields, accelerate the research and development of key agricultural big data technologies, and promote the data *** enjoyment of agricultural resources and elements. The Ministry of Commerce and other three ministries and commissions issued "to promote the development of agricultural e-commerce action plan" emphasizes that the mobile Internet, cloud computing, big data, the Internet of Things and other new generation of information technology throughout the various areas of agricultural e-commerce links, and effectively enhance the ability of independent innovation.

The 21st Century Macro Research Institute believes that with the development of agriculture, especially the development of rural e-commerce, agricultural upstream and downstream sales of agricultural materials, agricultural production, agricultural product circulation data, as well as data related to agricultural land transfer, meteorology, soil, hydrology, etc., have been accumulated on a large scale precipitation, and these big data will become the "brain" of agricultural decision-making.

These big data will become the "brain" of agricultural decision-making, alleviating the pain points of the current agricultural industry chain due to information asymmetry, thus driving the transformation of agriculture into precision, networking, and intelligence.

Six areas of agricultural big data urgently need to promote

Currently, Chinese agriculture is in a small farm operation to scale, mechanization, intensification of the transition stage. Due to the rough production, decentralized operation and agriculture's own seasonal and geographical characteristics, information asymmetry has become a **** problem through the agricultural industry chain. The current agricultural industry chain is a headache of the four major pain points of the problem, one of the root causes often lies in the lack of information:

One is not good planting. The labor and material consumption of planting and breeding is large, and the quality of agricultural products is relatively low. This is mostly related to the agricultural operators of planting and raising technology and insufficient grasp of information on pests, diseases and epidemics, but also with the rising cost of labor, the use of fake and shoddy agricultural products;

The second is not sold. Agricultural products stagnant, difficult to sell the problem of frequent occurrence of many places, which is often due to agricultural operators of similar products production data is not enough to estimate, blind production and caused by the concentration of the market, on the other hand is the lack of consumer confidence in the quality of agricultural products;

Third, it is difficult to rent land. Expanding the scale of production can not rent land, which is both related to the fragmentation of land parcels, lack of funds, and the lack of land transfer information channels;

Four is difficult to borrow money. In addition to collateral, it is difficult for agricultural operators to provide sufficient credit data, and thus it is often difficult to borrow money, which also restricts them from upgrading production equipment and expanding production scale.

The above four pain points involve the information connection between agricultural operators and the government, upstream agricultural enterprises, downstream consumers, financial institutions, etc. The 21st Century Macro Research Institute notes that many domestic organizations and enterprises have already made initial explorations in breaking the "digital divide". According to the current exploration, at least six areas of big data will play a role:

One of them is the ecological environment data, including meteorology, hydrology, soil and pests, animal epidemic data. These data are the main basis for the daily operation of agriculture to adjust the agricultural water use, agricultural product inputs, accurate mastery of these data will help to do precision planting, breeding, reduce resource waste and cost investment.

Secondly, agricultural technology and agricultural material circulation data. Mastery of agricultural technology can ensure that agricultural products are efficient and productive, while analysis based on agricultural distribution data provides a basis for judgment for agricultural operators to choose agricultural products. Seed, seedling circulation data, can also determine the scale of production of a certain category of agricultural products, for the adjustment of the scale of the basis.

Third, the price of agricultural products and agricultural circulation data. Adjustment of production scale, production category adjustment, must be informed in advance of the price of agricultural products and the main producing areas of the production and marketing situation. In addition, through the B2B, B2C e-commerce platform to promote agricultural supply and demand information docking, can expand the sales market, improve agricultural prices.

Fourth, land transfer data. Through the docking of information on both the supply and demand sides of land transfer, the transfer will be more efficient, reducing the situation of one party leaving the land fallow and the other looking for land.

Fifth, the quality of agricultural products traceability data. Through the integration of the above data on the use of agricultural materials and production and circulation data, traceability data can be constructed from the farm to the dinner table to eliminate consumers' doubts about the quality of agricultural products and increase the purchase rate of agricultural products.

Sixth, agricultural operator credit data. The aforementioned data can be incorporated into the credit systems of banks, rural credit unions and insurance organizations as the credit basis for granting loans and setting up agricultural insurance, thus promoting the integration of finance and agriculture.

The 21st Century Macro Research Institute believes that with the popularization and application of agricultural big data in the above six areas, it will reduce transaction costs, improve production efficiency and product quality, and enhance the efficiency of agricultural product transactions. In essence, it will promote the transformation of rough decentralized operation and large-scale, intensive operation to precise and intelligent operation.

Agriculture-related departments need to work together

On the integration of big data and agriculture, different industries in the agricultural chain or usher in the transformation of the ecology.

The big data-driven single farm, for example, operators will be more use of green, efficient agricultural products, has long been rising simple labor will be replaced, and adapt to the big data knowledge-based, technology-based "new agricultural operators" will have more use. Such as adapting to the development of "water-fertilizer integration", water-soluble fertilizers, liquid fertilizers will be developed, while the previous popularity of ordinary chemical fertilizers will be because the particles can not be completely dissolved and clogged drip irrigation equipment, may be eliminated by the market.

However, it should be pointed out that most of the agricultural big data technology is still in its infancy, failing to do enough intelligent; bear agricultural big data of agricultural Internet of Things, intelligent monitoring equipment, such as the price is too high; in addition, due to the promotion of the efforts is not yet large, agricultural operators do not yet have enough knowledge.

The 21st Century Macro Research Institute believes that both "e-commerce to the countryside" and the big data industry are at an early stage. Relying on big data technology to widely promote agricultural development is not realistic in a short period of time. The agricultural big data market is still a market full of opportunities to be developed. For this reason, it is necessary for government departments, agriculture-related enterprises, big data enterprises and agricultural production and management subjects to work together to **** together to promote the demonstration and promotion of agricultural big data.

For the government, the first thing it should do is to promote the infrastructure construction of big data. This includes two aspects, one is to vigorously promote the construction of communications base stations, telecommunications broadband, for all kinds of agricultural operators "touch the network", connecting big data to provide the basis; two is to develop as much as possible the government to grasp all kinds of agriculture-related big data, including weather data, agricultural land content data of various elements, pests and animal epidemic monitoring data, for agricultural enterprises to rationalize the deployment of agricultural data, including data, data, data, data, data, data, data, data, data, data, data, data, data, data, data, data, data and data. The second is to develop as much as possible all kinds of agricultural data held by the government, including weather data, data on the content of various elements in agricultural land, monitoring data on pests and diseases and animal diseases, for agribusinesses to rationally deploy their production and develop agricultural solutions for each region and each species.

Secondly, the government needs to provide policy support to guide agribusinesses and big data companies to build variety- or region-centered agricultural big data platforms. Let agricultural big data services become a direct profit project or supporting value-added services for enterprises.

In addition, it is also necessary to guide agricultural operators to take the initiative to the transformation of big data agriculture, to do demonstration and promotion of excellent cases, and to guide agricultural operators to learn the "demonstration field on the cloud".

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