Big data's integration into agricultural production will be a thing of the past.

Since last year, cheap vegetables and fruits have hurt farmers frequently. Apart from calling on people to buy some love vegetables, there seems to be no way. As for why this phenomenon occurs, experts say more about the expansion of planting area and the limited market capacity. How to let farmers know what to grow in the first place? In the era of "Internet +", this problem could be worked out through big data.

Big data's application, let farmers see where the market demand, what are the best-selling products, from now on farming is no longer blind.

In Liaoning Province, in normal years, black beans are directly sown from late May to early and mid-June, while in the farmland of Sandaogang Village, Majiadian Town, Donggang City, black bean seedlings have already grown in the season when they should have been sown. The grower here is Zhang Yupeng, a local agricultural product e-trader. Why did he plant it so early?

Zhang Yupeng: the first black bean variety I chose has a relatively long growth period, so it is a late-maturing variety, so it should be planted earlier. Second, my black bean does not use chemical fertilizer, and the plant grows relatively slowly, so it should be planted earlier.

If you sow the seed half a month in advance, you will run the risk of freezing to death. in the eyes of others, this is somewhat crazy, but what is even crazier is that Zhang Yupeng grows black beans to extract oil, but before the Spring Festival, he pre-sold through the Internet and sold out all the black soybean oil that had not yet been planted. Zhang Yupeng:

Zhang Yupeng: after a ten-day pre-sale before the Spring Festival, the sales exceeded 10 million, so now the biggest problem is that the production of this piece can not keep up with the pace.

If the pre-sale exceeds 10 million yuan, if calculated according to last year's output, it means that Zhang Yupeng has sold out the whole year's output, that is to say, the black beans used for oil extraction here have not yet gone to the ground, and the unsqueezed oil has been sold out. Zhang Yupeng is under great pressure, and this year his center has all moved to the production sector. At the same time, in order to ensure the yield, Zhang Yupeng risked planting late-maturing varieties after some thinking:

Zhang Yupeng: according to the meteorological data provided to us by the local meteorological department and the soil moisture data provided by the agricultural department, we conducted an analysis. The temperature this year is similar to that of previous years, but the low temperature rises relatively fast. So if my black beans are planted, they can guarantee the sprouting rate.

Interviewer: would you dare to plant without this data?

Zhang Yupeng: if you don't dare to plant it, if the ground temperature is not enough and there is no budding rate, it will be white.

Zhang Yupeng said that the reason why he dared to be so crazy is because he adopted the agricultural model of "Internet +" and relied on the analysis and utilization of the Internet big data. The so-called Internet big data refers to the huge amount of data generated every day by hundreds of millions of computers connected around the world, which was previously limited by technology and could not be analyzed and utilized. In recent years, with the birth of cloud computing technology, these massive data can be analyzed and classified. The application is becoming more and more widespread:

Zhang Yupeng: this is big data, who has been sold by e-commerce in recent years. We can obviously see which products sell well. Then we analyze these superior products through the consumer love index and purchase trend big data. Make sure that black soybean oil and ice wine are what we can do. We then analyze the degree of consumer desire for these two products through data companies. The higher the degree of desire, the greater the success rate of online pre-sale. In the end, we decided to use the e-commerce platform for network pre-sale, but it was really successful.

So what is "Internet +"? The "Internet +" strategy is to use the Internet platform and information and communication technology to combine various industries, including traditional industries, with the Internet, so as to create a new ecology in new areas, such as traditional bazaar plus Internet with Taobao, traditional bank plus Internet with Alipay, traditional matchmaker plus Internet with various love and marriage websites, traditional transportation plus Internet with Kuaidi and Didi, etc. People like Zhang Yupeng who rely on Internet big data to do business are not alone. According to Taobao data, more than 30% of agricultural products e-commerce is purchasing background transaction data of Internet trading platform for analysis and utilization. Duan Ping, general manager of an agricultural development co., Ltd in Shanxi:

Duan Ping an: many of our past decisions follow our feelings based on experience. If we use agricultural big data as a guide, it will provide a scientific and accurate basis for production and management decisions.

In Pinglu County, Shanxi Province, Duan Ping'an is busy selecting land to grow okra. He said that in the past, farming depended on experience, basically growing a crop all the year round, but he often lost money due to the difficulty of selling. Now using the Internet big data, this year he can predict the crops that may be in short supply next year, so as to adjust his planting plan in time:

Duan Ping an: okra planting according to the data of national research, in 2008, its demand was 58900 tons, and its supply was 52000 tons. By 2014, its demand was 106600 tons, and its supply was 93800 tons. According to this projection, in the future market development of okra, its demand is far greater than the supply.

Zhang Yupeng and Duan Ping an adjusted the operating and planting varieties of online stores in time by referring to the Internet big data, which not only made the sales of their online stores exceed 10 million yuan, but also more effectively helped farmers avoid the problem of selling. Wang Anping, general manager of an agricultural technology co., Ltd in Hangzhou, Zhejiang province, admitted that he did not know what "Internet + agriculture" was before. At the beginning of the company, it was basically what to make money and what to do. And the Internet big data just satisfies this kind of psychology:

Wang Anping: in 2011, we found that the search ranking of Coix seed rice was very high, so we would mainly promote this product, and then in 2012, we found that the search for black rice would be at the top. We would make black rice as a product. In 2013 and 2014, rice search was at the top.

With the Internet data updating faster and faster, their cycle of adjusting products is getting shorter and shorter, and with the development of the company and the in-depth analysis of Internet data, they are no longer simply adjusting products, from the initial product development, packaging design to publicity and promotion, and then to sales and delivery, every link is inseparable from the analysis and use of Internet big data, in-depth data analysis. Every product launch of Wang Anping Company was sought after by consumers and stood out on the Internet trading platform in just three years, creating a miracle that the annual sales of agricultural products online stores exceeded 200 million yuan.