With the rise of smart agriculture, who can take the lead?

    In recent years, the application process of artificial intelligence in the industrial field has far surpassed that in agriculture, and the great efficiency of AI in the industrial field has brought hope for agricultural reform. According to data from the Prospective Industry Research Institute, by 2025, my country's agricultural scale will account for more than 1/5 of the world's total. AI empowers agriculture, accelerates the process of agricultural informatization, and promotes the integration of informatization and modernization. It has become an inevitable trend.

    Domestic smart agriculture started late, and the current agricultural development lags behind foreign countries. Giants are pouring into the agricultural field to inject vitality into the construction of domestic smart agriculture. At the same time, they can learn from the development of foreign smart agriculture, and then combine their own advantages to develop a unique form of smart agriculture.

     There is a gap between domestic and foreign countries in smart agriculture

    At present, the development of smart agriculture in China still faces the following main problems: the policy has not been fully opened; the level of agricultural technology and mechanization is far from that of foreign countries; at the same time, the agricultural business model is relatively simple and lacks the ability to innovate. Starting from these issues may be of great significance to promoting the construction of smart agriculture.

    The first is the late start of smart agriculture and the backward infrastructure. The United States has put forward the concept of "precision agriculture" as early as the 1980s. Strengthen the construction of agricultural infrastructure with farmland water conservancy, rural transportation, electricity, telecommunications and the Internet as the main content to provide guarantees for the modernization of American agriculture.

    my country's agriculture is still at the stage of traditional agriculture. The agricultural infrastructure in most areas is still backward, the farmland roads are severely damaged, the agricultural irrigation facilities are simple, and the traditional flood irrigation is mostly used. According to the data of China Industry Information Network, the comprehensive mechanization level of crop farming in my country has reached more than 60% this year, and the development of comprehensive agricultural mechanization level is unbalanced, while the United States has basically achieved mechanization as early as 1940, and the gap caused by the slow development of agriculture is undoubtedly obvious. .

    Domestic giants are trying to use technology to change traditional agriculture. On April 9 this year, JD.com announced the establishment of a smart agricultural community; Alibaba Cloud ET Agricultural Brain was officially released at the Shanghai Summit; Baidu also announced the latest results of AI remote sensing intelligent monitoring of pests and diseases at the Baidu World Conference. .

    AI+Agriculture will collide with different sparks in the future

    Domestic smart agriculture has just started. Under the leadership of the giants, there will be great changes in traditional agriculture in the future, and the gap with foreign countries will be further narrowed, creating a smart agriculture with Chinese characteristics.

    One is the AI of agriculture. In crop breeding, AI technology can help screen better genes and improve the efficiency and accuracy of crop breeding. At the same time, it can also provide farmers with customized seed solutions according to differences in needs, environment, etc., to improve productivity.

    The second is to cultivate more compound agricultural talents. In order to adapt to the development of agricultural modernization, the professionalization and high-knowledge of farmers need to be accelerated. A new type of professional farmer must not only have culture, but also understand technology and be able to operate.

    Its three blockchain traceability. At present, blockchain technology is also used in the agricultural industry, and extends agricultural traceability to create more economic value for agriculture. This technology can help farms accurately collect comprehensive information on planting, and prevent tampering with weather, soil, temperature, humidity and other data, and is closely connected to many agriculture-related platforms.

   Because blockchain technology cannot be tampered with, consumers can more transparently understand the detailed information of food, including production place, planting and production date. The establishment of full traceability in agriculture not only ensures the reliability of food sources, but also enhances the consumer experience.