How artificial intelligence big data works in agricultural development

Original title: 2019 China's agricultural industry market analysis: the traditional three major development pain points, three major technologies to help the transformation and upgrading to digital agriculture

Digital agriculture came into being What is the prospect?

In the context of the rapid development of the digital economy, "digital agriculture" came into being. How should we understand "digital agriculture"? What are the prospects for digital agriculture in China? How can digital agriculture boost the transformation and upgrading of traditional agriculture?

Statistical Analysis of China's Agricultural Products Import and Export Amounts in March 2019

In terms of the import amount, the data showed that China's agricultural products import amount gradually declined in the February-April quarter of 2018, and China's agricultural products import amounted to $105,958,000,000 in March 2019, a year-on-year decline of 0.1%.

In terms of export amount, China's agricultural products export amount showed an increasing trend in the 1-4 quarters of 2018, among which, China's agricultural products export amount increased the most in the 2Q of 2018, with an increase of 11.45% compared with the 1Q. China's agricultural products export amounted to 16,482.3 mln US dollars in March 2019, with a year-on-year increase of 12.3%.

Analysis of pain points in the development of China's traditional agriculture

1. Demand side - the growing demand for agricultural products and the traditional domestic agricultural production contradictions highlight the high degree of foreign dependence. With the increase in income, consumers will be converted from meeting the basic needs of survival to a higher quality of life style, and then intake of more meat, eggs and dairy products to meet the energy needs of food and other agricultural products, the demand for food gradually increased. Not only that, as China's residents continue to raise incomes, residents of high-quality agricultural products demand also continues to rise, China's agricultural production contradictions will gradually be insufficient supply from the total amount of change to the product structure mismatch.

2, the supply side - small-scale decentralized operations, high production costs, weak profitability. China's total agricultural output value perennial in the world's first, but due to the long-standing family contract responsibility system under the decentralized operation and highly decentralized planting, breeding status quo, resulting in low level of agricultural technology, both the level of mechanization or in the level of biochemical technology, lagging behind the developed countries. At the same time, China's low degree of industrialization of agriculture, short value chain, low value-added, resulting in weak agricultural profitability, per capita agricultural value added is much lower than in developed countries.

3, service side - financing difficulties, non-standardization, information asymmetry. Financing is complicated, costly and time-sensitive. The "three rural" loan problem is prominent, and the phenomenon of private lending and borrowing increases the risk of rural finance. The standardized agricultural production and marketing system has not yet been established. Agricultural production technology and process standards are not perfect, the standardized sales system of agricultural products is not sound, and brand awareness is generally not high. Chain redundancy and information asymmetry have led to increased marketing difficulties and low added value at the production end. Agricultural products from production to consumption transaction chain is too long, transaction costs, transportation costs are higher, the uncertainty of the transaction increases, the loss is also higher.

How can digital technology help traditional agricultural transformation and upgrading?

For the above problems faced by traditional agriculture, the Internet of Things, big data, artificial intelligence will effectively help traditional agriculture to digital agriculture transformation and upgrading.

1, the Internet of Things - real-time access to agricultural data, laying the foundation for agricultural digitization. Internet of Things in the field of agriculture has a wide range of applications, based on the Internet of Things agricultural solutions, through the real-time collection and analysis of field data and the deployment of the command mechanism, to achieve the purpose of improving operational efficiency, expanding revenue, reducing losses. Variable rate, precision agriculture, smart irrigation, smart greenhouses, and many other IoT-based applications will drive improvements in agricultural processes. IoT technology can be used to solve problems specific to the agricultural sector, create IoT-based smart farms, and achieve double crop quality and yield.

2, big data - decision-making "digital", comprehensively improve production efficiency. The Internet of Everything (IoT) will generate massive amounts of data in the cloud while driving massive amounts of device access. The method of mining these big data generated by the Internet of Things in the hidden information is the use of artificial intelligence. The core business value of IoT is to intelligently analyze and process this massive amount of data to generate various applications based on different business models.

3, artificial intelligence - huge potential to activate the efficient development of agriculture. In the field of planting, artificial intelligence is expected to improve food production and reduce resource waste. In the field of farming, the use of artificial intelligence can effectively reduce the losses caused by disease. Artificial intelligence shortens the process of agricultural research and development. In labs and research centers, machine learning algorithms can help breed better plant genes, create safer and more efficient crop protection products and fertilizers, and develop more agricultural products.

When it comes to digital technology fueling agriculture, Israel has to be mentioned. Israel suffers from a shortage of natural water resources and scarce precipitation, with two-thirds of the country defined as semi-arid or arid. The lack of resources has forced the country to focus on improving agricultural efficiency, in order to tap into the potential of big data to stimulate the development of digital agriculture.

In recent years, more and more areas of agriculture in Israel are being monitored by thermal imaging cameras, sensors, drones, satellite imagery and other technologies that allow real-time data to be communicated to farmers in a timely manner, dramatically increasing the speed at which farmers can correspond, minimizing agricultural damage in extreme weather conditions, and maximizing agricultural yields. As a result of the agricultural modernization process, as of 2016, Israel has made the transition from importing 80% of its food in the early years of New China to being able to produce 95% of its own needs.

For more data, please refer to the China Agricultural Industrialization Market Outlook and Investment Strategy Planning Analysis Report published by the Prospective Industry Research Institute.