With the concept of "Internet plus traditional industries" put forward in 2015, "Internet + Agriculture" has been completed for two years now. Two years is not long, but enough to make the Internet set off a reign of big changes in agricultural production. For a time, internet of things such as agricultural internet of things, big data and rural electricity providers have poured in people's attention. You have not figured out the meaning of these hot words, but some people have already applied it to agricultural production.
Agricultural Internet technology promising but difficult to implement
Relevant data show that in September 2016, China's agricultural electricity supplier turnover exceeded 170 billion yuan. The Ministry of Agriculture proposed that by 2020, the trading volume of e-commerce in agricultural products will reach 800 billion yuan, with an average annual growth rate of 40% or so. This shows that the hidden potential of "Internet + Agriculture" is huge, and it is subtly leading the direction of the transformation of China's agricultural industry.
However, the prospect of a good applause at the same time, in order to truly apply to practice, which implied difficulties can not be ignored. There are actually many problems with the various models that under the banner of "Internet +" ...
Agricultural Internet of Things technology, promising but not easy to implement
It is reported that in the early years began to do agricultural Internet of Things platform there Yunfei Technology, Lenovo Jiawo, wave, Huiyun information. To some extent, the promotion of agricultural IOT technology can promote the agriculture towards informationization, raise the level of agricultural production management, and can also play a role of guaranteeing the safety of agricultural products and food, and further promote the development of agriculture towards smart agriculture and precision agriculture.
In addition, the deployment of agriculture with Internet of Things makes it possible to trace the growth of agricultural products throughout the entire process. It can also effectively realize industrialization of agricultural production, guide farmers in intensive farming and implement strict standards in various aspects such as breeding, fertilization and irrigation, and 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 and face two major problems. One problem: Agricultural Internet of Things is a high-tech, highly marketized industry that requires a lot of financial input into financial support and high technical requirements.
Problem two: Many seemingly simple one-stop operation, in fact, inseparable from the cultivation of professionals. The cultural quality of our peasants is not high enough. We need to increase the scientific and cultural training for peasants, improve their cultural accomplishments, and cultivate knowledge-based talents who understand science and technology, understand computers, understand the market and understand management. However, for the peasants who have been engaged in traditional agricultural production, it is easier said than done and it will actually be harder to implement.
A variety of issues derived from the initial stage, agricultural big data difficult to move forward
Based on the development of big data in other fields, the potential of agricultural big data production should not be underestimated. The agriculture big data application platform represented by Qiantian Network Technology, Tianchuang Jinnong Science and Technology and Huiyun Information Technology contributes to the contribution of big data in guiding the combination of production and marketing of agricultural products, supply and demand docking and so on. Modern agriculture relies on big data to predict the output of agricultural products in advance and make agricultural production more targeted and planned.
It is noteworthy that most of China's agricultural big data companies are still in their infancy, in which they also face the problems of cost and promotion.
First, the input of agricultural big data is not only the technical platform's own efforts, but also requires the support of all data and information platforms. The fragmentation of different data across different jurisdictions and the administrative borders impeding the interoperability of these data, combined with the current lack of some agricultural data in our country or the lack of accurate surveys on agricultural data, have led to low data quality The data dispersion and shortage.
Second, the use of agricultural big data for agricultural production, which need to be invested in the cost can be imagined. Capital investment in equipment, equipment maintenance, talent introduction and so on are all important issues to be considered in popularizing agricultural big data.
Finally, promotion has also become a big hurdle. The popularization of agricultural big data application analysis technology still has some difficulties in the rural areas of our country, let alone the poor circulation of information between urban and rural areas, the dense urban information, and the low coverage rate of rural information facilities. What is more, the gap between digital information in urban and rural areas is huge. This makes it difficult to collect comprehensive and accurate data and it is difficult to lay a solid mass foundation for the application of big data.
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