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[ China Agricultural Machinery Industry News ] "Internet +" drives traditional agricultural upgrading. At present, Internet technologies such as Internet of Things, big data, and e-commerce are increasingly used in the field of agricultural production, and to some extent, the pace of transforming agricultural production methods and developing modern agriculture has been accelerated.
Internet agriculture: At this stage it is just "looking beautiful"
With the introduction of the "Internet + Traditional Industry" concept in 2015, "Internet + Agriculture" has been two years. The two years are not long enough, but it is enough to make the Internet rise and fall in the great changes in agricultural production. For a time, Internet hot words such as agricultural Internet of Things, big data, and rural e-commerce have flooded people's attention. You have not figured out the meaning of these hot words, but some people have applied it to agricultural production.
Relevant data show that in September 2016, China's agricultural products e-commerce transactions exceeded 170 billion yuan. The Ministry of Agriculture proposed that by 2020, the volume of e-commerce transactions of agricultural products will reach 800 billion yuan, and the average annual growth rate will remain at around 40%. This shows that the hidden potential of “Internet + Agriculture†is huge, and it is subtly changing the direction of China's agricultural industry.
However, while the prospects are good, if they are to be applied to practice, the hidden difficulties cannot be ignored. There are actually many problems in the various modes of the "Internet +" banner...
The application of agricultural Internet of Things technology is promising but not easy to implement
It is reported that the platform for agricultural Internet of Things started in the early years is Yunfei Technology, Lenovo Jiawo, Inspur, Huiyun Information. The promotion of this agricultural Internet of Things technology can promote the development of agriculture to information and improve the level of agricultural production management. It can also play a role in safeguarding agricultural products and food safety, and promote the development of agriculture in the direction of smart agriculture and agriculture.
In addition, the implementation of the Internet of Things in agriculture makes it possible to trace the growth process of agricultural products throughout the entire process. It can also effectively realize the industrialization of agricultural production, guide farmers in intensive cultivation, and implement strict implementation of various aspects such as breeding, fertilization and irrigation to improve land use. Rate and unit output, promote agricultural income.
However, in fact, it is not so easy to popularize the agricultural Internet of Things, facing two major problems. Problem 1: The agricultural Internet of Things is a high-tech, high-market industry. It requires a large amount of financial support and a high technical requirement.
Problem 2: Many seemingly simple operations in one go, in fact, can not be separated from the cultivation of professional talents. The cultural quality of Chinese farmers is not high enough. It is necessary to increase the training of farmers' science and technology culture, improve their cultural quality, and cultivate knowledge-based talents who understand science and technology, understand computers, understand the market, and understand management. However, for farmers who have been engaged in traditional agricultural production, it is easy to say, and it is actually more difficult to implement.
A variety of problems are derived from the preliminary stage, and agricultural big data is difficult to move forward.
Based on the development momentum of big data in other fields, the potential of agricultural big data production cannot be underestimated. The agricultural big data application platform represented by Yumo Network Technology, Tianchuang Jinnong Technology and Huiyun Information Technology has contributed to the contribution of big data to guide the combination of production and marketing of agricultural products and the docking of supply and demand. Modern agriculture relies on big data to predict the output of agricultural products in advance, making agricultural production more targeted and planned.
It is worth noting that most of China's agricultural big data companies are still in their infancy, and they are also facing problems such as cost and promotion.
First of all, the investment of agricultural big data is not only the efforts of the technology platform itself, but also the support of various data information platforms. Since different data is scattered in different jurisdictions, and administrative boundaries hinder the mutual circulation of these data, coupled with the current lack of some agricultural data in China, or the lack of surveys on agricultural data, the quality of the data is low, which has resulted in The dispersion and shortage of data.
Second, the application of agricultural big data for agricultural production, the cost of the investment can be imagined. Capital investment in equipment funds, equipment maintenance, and talent introduction are all issues that need to be considered in popularizing agricultural big data.
After that, promotion has also become a major obstacle. The promotion of agricultural big data application analysis technology still has certain difficulties in rural areas of China, and it does not mean that the information flow between urban and rural areas is not smooth, the city information is dense, and the coverage rate of rural information facilities is not high. What's more, the digital information gap between urban and rural areas is huge, which makes it difficult to collect comprehensive data, and it is difficult to lay a solid mass foundation in the application and promotion of big data.