1. Take land circulation as an opportunity to collect land data, crop data and user data from the fields. And obtain market data through external procurement, thus establishing four data links.

2. The system automatically crawls from the above database and makes a comparative analysis to find the supply and demand sides of "order agriculture".

3. In the next production process, the figure of big data is everywhere-the details of production and operation activities can be quantified and visually presented, so that the planting industry has the same standardized process as the industry.

situation

Through the analysis of the data, we found the demand of Li Ji Zhacai, Fuling Zhacai Group and other enterprises for head green vegetables.

We have found many counties and cities in China that can meet the planting conditions of Chinese cabbage head in terms of historical climate, soil pH value and other indicators. Among them, Junlian County, Yibin City, Sichuan Province, which is adjacent to Chongqing, has some idle land from September of the year after tobacco leaves were purchased to April of the following year, which is just suitable for planting cabbage heads.

Jutu. Com found Junlian County Agriculture Bureau to realize green vegetable order planting.

After a winter's storage, the head of green vegetables buried in the soil becomes full and crisp, and after being sent to processing enterprises for slicing, air-drying and pickling, it becomes a world-famous Chongqing cuisine-mustard tuber.

Chongqing mustard tuber planting area is about 700,000 mu, and there are nearly 100 processing enterprises, which has become one of the largest characteristic agricultural products in our city.

However, like most agricultural products, Chongqing mustard tuber also has a cycle: it can't be sold in a good harvest year, and farmers reduce the planting area in the second year, which leads to insufficient raw materials in the downstream and rising prices. In the second year, everyone flocked to expand production, which made it impossible to sell ... thus forming a vicious circle.

Among the five paths of rural revitalization strategy, industrial revitalization ranks first. The basis of industry is planting. What tactics should be used to solve the widespread problem of disconnection between production and marketing in agriculture, especially planting?

Jutu.com, an Internet company in Chongqing, explored a new way to promote "order agriculture" by using big data.

Why do mustard tuber enterprises go abroad to buy green vegetables?

Gao Baochun, deputy director of the Market Information Department of the Municipal Agriculture Committee, believes that from the experience of developed countries, agricultural products processing enterprises place orders for farmers, farmers produce according to orders, enterprises purchase according to contract prices, and close and seamless connection between upstream and downstream is the best way to break the gap between production and sales.

But this is not the case. Even if enterprises are willing to place orders, most farmers are unwilling or even afraid to take them. Take the mustard tuber industry as an example. Liu Xianzu, a grower of Qingcaitou in Xixi Town, Fuling Town, said that planting risks are everywhere. Once it encounters drought or insect pests, the output of cabbage head will be reduced, the order can not be met, and compensation may be needed. Moreover, in poor harvest years, foreign companies may buy in Chongqing, and the purchase price may be higher. It may be more cost-effective to sell to foreign companies.

In order to ensure the yield and quality of crops, it is necessary to adopt advanced planting techniques for large-scale planting, but where does the money for transferring land, purchasing agricultural materials and renovating land come from? Liu Xianzu said that he applied to the bank many times and never got a loan.

Banks also have difficulties. A grassroots loan officer of Chongqing Rural Commercial Bank said that the planting industry in our city is generally small in scale, with low loan amount and high unit management cost. More importantly, most agricultural loans are credit loans. Without collateral, it is not easy for banks and farmers to establish a trust relationship. Once lent, it is easy to form bad debts when crops fail and farmers are unable to pay.

It is understood that because it is difficult to achieve order production, the vegetable heads in our city have been mainly planted on a small scale for a long time. Vegetable farmers usually sell vegetable heads to vegetable dealers, who then sell them to mustard tuber enterprises. Middlemen earn the difference, but farmers don't earn much.

An owner of Fuling mustard tuber industry said that due to the unstable supply of raw materials, mustard tuber processing enterprises in Chongqing often "have no rice to cook" and can only go to Sichuan, Jiangxi and Zhejiang to buy vegetables at high prices. He revealed that this situation is common in most agricultural products in our city and even in the whole country.

So, in today's big data background, can this situation change?

How is "order agriculture" realized?

The way to gather soil network is to promote "order agriculture" through big data means.

Like most Internet platforms engaged in land circulation and agricultural products trading, Jutu.com has accumulated a huge amount of land information, user information and trading data for listing and trading through years of operation. After automatic data capture and comparative analysis, the website found many user needs. One of them is the demand of Li Ji Zhacai and Fuling Zhacai Group for green vegetable heads.

Who can meet the demand? Also based on big data analysis, giant picture. Com has found many counties and cities that can meet the planting conditions of cabbage head in terms of historical climate, soil pH and other indicators.

Who is the most suitable eligible area? According to big data, the government of Junlian County, Yibin City, a poverty-stricken county in Sichuan Province, adjacent to Chongqing, is fully advocating the development of tobacco-based agricultural cultivation, hoping to increase farmers' income.

Further dig deep into big data and giant pictures. Com has a more surprising discovery. After tobacco leaves were purchased in this county, the land was idle from September of that year to April of the following year, which was the best planting period for green vegetables. Jutu. Com found the agricultural bureau of Junlian county, and the two sides hit it off.

In fact, accurately promoting the docking of production and marketing is only the first step for big data to play its role. In the next production process, the figure of big data is everywhere. For example, according to crop growth data and market supply and demand data, the soil collection network has designed crop growth model, disease diagnosis model and price prediction model.

Crop growth model, that is, using the fitting degree of standard growth curve and actual growth curve to monitor crop growth; The disease diagnosis model is to transform the disease facts into specific disease probability, and combine the conditional threshold to accurately confirm the name of the disease and match the accurate treatment plan. With the support of these two data models, when crops grow poorly or get sick, the system will automatically alert technicians on the mobile phone, thus prompting them to take countermeasures.

The market supply and demand model is used to predict the price fluctuation of crops. Use it, Jutu. Com can set a suitable order price for the buyers and sellers of "order agriculture", so that everyone will not suffer.

Agricultural finance is a typical scenario of big data application. Jutu. Com first collects information and data such as farmers' behavior, family background, personal background, crop growth cycle, market supply and demand, and then restores the data to farmers' actual balance sheets and expected balance sheets through quantitative analysis, forming a standard portrait of big data users. Through the latter, financial institutions can easily distinguish whether they can lend.

Nearly one million small farmers "hand in hand" with nearly 2,000 enterprises.

Finding buyers and sellers through big data, matching transactions, and then providing full-process services such as centralized procurement of technology, finance and agricultural materials through big data means to ensure the quality and quantity of orders are completed. Jutu.com did it.

In 20 13, Tian Jinglong, a young entrepreneur from Zhongxian County, Chongqing, who came back from Shanghai, went to the countryside to transfer land, and then found a home in 58 cities or online, and soon made a profit of over one million yuan.

After tasting the sweetness, Tian Jinglong founded Giant Rabbit. Com, trying to attract franchisees from cities and counties all over the country through opening data ports to expand the number of customers and the scale of transactions. But he soon discovered the "ceiling" of this traditional modeling industry: even if he traveled all over the country, it was only a market scale of several hundred million yuan.

In the process of redesigning the business model, Tian Jinglong found the market pain point of order agriculture. There is no shortage of orders in the market, but the upstream production organization has always been a problem. Can the soil collection network organize the upstream, directly trust the farmers' land and carry out intensive management?

However, if you don't know technology, how can you organize production by hosting land? 20 16, JD Finance and Jutu.com reached a strategic cooperation. The former has inspired Tian Jinglong by establishing a financial risk control model through big data.

He found that big data can quantify and visualize every detail of production and business activities. The data can be used to generate models, so that the planting industry can have standardized processes like industry, so that large-scale planting and trading have a technical basis.

Tian Jinglong began to rebuild the large database of soil collection network. The data sources of similar websites are usually uploaded by users, so the authenticity is difficult to identify. His solution is to resume the land circulation business and take this opportunity to collect land data, user data and field crop data. Since then, he has established a market database by purchasing from professional institutions.

In recent years, the soil collection network has formed a big data chain of four levels: land data, user data, crop data and market data, and thus established a series of application models such as the above crop growth model, disease diagnosis model and price prediction model.

At the beginning of this year, Giant Map. The first single agriculture based on big data made Chongqing Qilian farmers and enterprises achieve a win-win situation. Dozens of large trucks travel between Sichuan and Chongqing in turn, and mustard tuber enterprises have obtained high-quality raw material supply, and the price is cheaper than that of vegetable dealers 10% or more. Junlian county increased its income by nearly 40 million yuan, and the per capita income of growers increased by more than 6,000 yuan.

There are 9 similar businesses in Jutu.com, involving nearly 20 agricultural varieties such as wheat, rice, corn, soybean, mustard tuber, ginger, lemon and lobster, and more than 10 provinces and cities such as Guizhou, Sichuan and Anhui. Nearly one million scattered small farmers and nearly 2,000 enterprises have successfully achieved "hand in hand" through big data. Jutu.com manages more than 30,000 mu of land, most of which is in the middle of China and the farthest is in the northeast of China. More and more agriculture-related enterprises began to cooperate with Jutu.com. ..