Internet artificial intelligence and other technologies have been gradually applied to agriculture, boosting the transformation and upgrading of traditional agriculture.

In recent years, our country has carried out a series of deployment in the development of intelligent agriculture, and implemented a number of major application demonstration projects. Breakthroughs have been made in intelligent agricultural technology, such as agricultural expert systems, agricultural intelligent equipment, and Beidou agricultural machine automatic navigation and driving.

However, compared with the developed countries, due to the late start and weak foundation, our research and application level of smart agriculture is lagging behind.

Analysis of intelligent agriculture development needs

Under the background of constructing domestic and international double-cycle new development pattern, developing smart agriculture is conducive to enhancing the market competitiveness of Chinese agricultural products, which is an important aspect of our agricultural quality development. It is urgent to enhance the value chain of agricultural industry through intelligent agricultural technology and promote the core competitiveness of Chinese agricultural industry to approach the level of developed agricultural countries as soon as possible.

The other is the domestic market. In the process of comprehensively promoting rural revitalization, the link between small farmers and modern agriculture has become the focus of the work of "agriculture, rural areas and farmers". The proportion of smallholders in agricultural operations in our country is still high. We should give full play to the role of information service to link up farmers and bring agriculture into play, and establish a big data intelligent service system for smallholders, so that millions upon millions of smallholders can effectively interconnect with the large market. While consolidating and expanding the achievements made in poverty alleviation, we will effectively link rural revitalization, smooth the economic cycle between urban and rural areas, and empower small farmers to increase their incomes.

Can AI really give traditional agriculture wings to take off? What "impossibilities" will AI create for agricultural production?

At present, artificial intelligence in our agriculture fields has been the wind of the water. For example, we are all familiar with the area of farming. As an important part of the agricultural industry, aquaculture has become the "darling" of artificial intelligence investors, attracting much attention from people inside and outside the industry. Artificial intelligence is also being used in food and vegetable growing. Industry analysis pointed out that from watching the day to see AI eating, artificial intelligence for agriculture to bring new changes and changes.

When it comes to AI's role in changing the way agriculture works and in planting, it starts with the selection and testing of prenatal seeds. We know that a lot of preliminary work needs to be done before the crops can be transplanted. Such as seed selection. Seed is one of the most important means of production in agricultural production. Seed quality is directly related to crop yield. The detection of seed purity and safety is an important means to improve the quality of agricultural products. Therefore, seed selection and detection by artificial intelligence play a good guarantee role in improving the yield and quality of agricultural products.

Second, intelligent planting. In traditional agriculture, it needs to consume a lot of manpower and material resources; The use of AI technology will help ease the burden on farmers, such as managing irrigation and water use, using nutrient and fertilizer solutions based on images, and even predicting the correct time to harvest crops through AI, greatly reducing the need for labor on the land. For example, in planting, management, picking, sorting and other links can be completed by intelligent robots, to achieve intelligent and automatic agricultural planting; For example, AI can predict which crops and vegetables are suitable for this year based on the conditions of the soil and market conditions.

At present, with the development of digital technology, traditional agriculture also began to transform and upgrade, towards digital agriculture. Technologies such as the Internet of Things, big data and artificial intelligence have been gradually applied to agriculture, boosting the transformation and upgrading of traditional agriculture.