Original title: Analysis of agricultural industry market in China in 20 19: Three traditional development pain points and three technologies to help transform and upgrade to digital agriculture.

What is the prospect of digital agriculture?

Under the background of the rapid development of digital economy, "digital agriculture" came into being. How to understand "digital agriculture"? What is the prospect of digital agriculture in China? How does digital agriculture promote the transformation and upgrading of traditional agriculture?

Statistical Analysis of the Import and Export of Agricultural Products in China from 2065438 to March 2009

In terms of import amount, the data show that the import amount of agricultural products in China decreased gradually in the second and fourth quarters of 20 18. In March, the import amount of agricultural products in China was 20105958 million US dollars, down 0. 1% year-on-year.

From the perspective of export volume, the export volume of agricultural products in China showed an increasing trend in the fourth quarter of 20 18. Among them, the export value of China's agricultural products increased the most in the second quarter of 20 18, which was1.45% higher than that in the second quarter. From 2065438 to March 2009, China's agricultural exports were164.823 million USD, up by 12.3% year-on-year.

Analysis of pain points in the development of Chinese traditional agriculture

1, demand side-there is a contradiction between the growing demand for agricultural products and domestic traditional agricultural production, and the dependence on foreign countries is high. With the increase of income, consumers will change from meeting basic survival needs to a higher quality lifestyle, and then consume more meat, eggs and dairy products to meet energy needs, and the demand for agricultural products such as grain will gradually increase. Moreover, with the increasing income of residents, residents' demand for high-quality agricultural products is also increasing, and the contradiction of agricultural products production in China will gradually change from insufficient supply to product structure mismatch.

2. Supply side-small-scale decentralized operation, high production cost and weak profitability. Although China's total agricultural output value ranks first in the world all the year round, due to the decentralized management and highly decentralized planting and breeding status under the household contract responsibility system for a long time, the agricultural technology level is low, and both the mechanization level and the biochemical technology level lag behind developed countries. At the same time, China's low degree of agricultural industrialization, short value chain and low added value lead to weak agricultural profitability, and the per capita agricultural added value is much lower than that of developed countries.

3. Server-financing is difficult, irregular, and information is asymmetric. The financing link is complex, with high cost and poor timeliness. The problem of "three rural" loans is outstanding, and the phenomenon of private lending increases rural financial risks. Agricultural standardized production and marketing system has not yet been established. The production technology and process standards of agricultural products are not perfect, the standardized sales system of agricultural products is not perfect, and the brand awareness is generally not high. The redundancy of the chain and the asymmetry of information make sales more difficult and the added value of the production end is low. The transaction chain of agricultural products from production to consumption is too long, the transaction cost and transportation cost are high, and the uncertainty and loss of the transaction are also high.

How does digital technology help traditional agriculture transform and upgrade?

In view of the above problems faced by traditional agriculture, the Internet of Things, big data and artificial intelligence will effectively help traditional agriculture to transform and upgrade to digital agriculture.

1, internet of things-real-time access to agricultural data, laying the foundation for agricultural digitalization. The Internet of Things is widely used in agriculture. Agricultural solutions based on the Internet of Things can improve operational efficiency, expand income and reduce losses by collecting and analyzing field data in real time and deploying command mechanisms. The application of variable speed, precision agriculture, intelligent irrigation and intelligent greenhouse based on the Internet of Things will promote the improvement of agricultural processes. Internet of Things technology can be used to solve the unique problems in the agricultural field, build a smart farm based on the Internet of Things, and achieve a double harvest of crop quality and yield.

2, big data-decision-making "digital", comprehensively improve production efficiency. While promoting the access of massive devices, the Internet of Everything will also generate massive data in the cloud. The way to mine the hidden information in these big data generated by the Internet of Things is to use artificial intelligence. The core business value of the Internet of Things is to intelligently analyze and process these massive data, thus generating various applications based on different business models.

3, artificial intelligence-great potential, activate the efficient development of agriculture. In the field of planting, artificial intelligence is expected to increase grain production and reduce resource waste. In the field of aquaculture, the use of artificial intelligence can effectively reduce the losses caused by diseases. Artificial intelligence shortens the process of agricultural research and development. In laboratories and research centers, machine learning algorithms can help cultivate better plant genes, create safer and more effective crop protection products and fertilizers, and develop more agricultural products.

When it comes to digital technology promoting agricultural development, we have to mention Israel. Israel lacks natural water resources and precipitation, and two-thirds of the area is defined as semi-arid or arid. The lack of resources forces the country to concentrate on improving agricultural efficiency and stimulating the development of digital agriculture in order to tap the potential of big data.

In recent years, more and more agricultural fields in Israel are being monitored by thermal cameras, sensors, unmanned aerial vehicles, satellite images and other technologies, so that real-time data can be conveyed to farmers in time, which greatly improves the corresponding speed of farmers, minimizes agricultural losses under extreme weather conditions, and maximizes agricultural output. Through the process of agricultural modernization, by the end of 20 16, 80% of Israeli grain will be imported from the early days of the founding of New China, and 95% will depend on its own needs.

For more data, please refer to the Forward-looking Analysis Report of China Agricultural Industrialization Market and Investment Strategic Planning issued by Forward-looking Industry Research Institute.