What does smart agriculture mean?

Smart agriculture is a digital agriculture model formed by the deep integration of modern information technology and traditional agriculture. On the basis of information technology and advanced equipment, it is an agricultural form that realizes accurate perception, intelligent control and intelligent management in the production process and pursues higher resource utilization rate, higher labor productivity and better employment experience in agriculture.

Smart agriculture is an advanced form of modern agriculture, characterized by data, systems and intelligent equipment. It is deeply integrated with the production factors such as land, animals and plants and production tools in traditional agriculture, realizing the accuracy of production operations, the autonomy of management decisions and the chain upgrade of industries, and promoting agriculture into a new era of modern agriculture with convenient production, efficient management and industrial synergy.

Recently, the Central Network Information Office, the Ministry of Agriculture and Rural Affairs and other departments 10 jointly issued the Digital Rural Development Action Plan (2022-2025) (hereinafter referred to as the Action Plan), clearly proposing the "Smart Agriculture Innovation and Development Action" to accelerate the development of smart agriculture. Developing smart agriculture is an important content of digital village construction, and it is also an urgent need to solve China's "three rural issues" and build a new international competitive advantage of modern agriculture, which has a great guiding and promoting role in China's agricultural modernization and the implementation of rural revitalization strategy.

Smart agriculture is characterized by digitalization, systematization and intelligence. According to the field, smart agriculture will form many production types, such as smart planting, smart aquaculture, smart processing industry and so on. According to the application scenario, smart farms, smart greenhouses, intelligent processing plants and other places will be formed, but no matter which form, it is inseparable from core elements such as big data, advanced systems, smart equipment and digital infrastructure.

Data visualization realizes the remote monitoring system of smart agriculture through independent research and development engine and digital twin technology, and gradually establishes a four-in-one agricultural production and evaluation model of crop categories, transforming agricultural production from the traditional human-centered model to a digital-centered visualization model, and driving the standardization of agricultural production through data, thus realizing customized production of agricultural products. Hightopo integrated platform obtains real-time equipment running status data from the information guidance and publishing system, and monitors the operation and remote opening/closing of the information guidance and publishing system.

In addition to accurate perception, control and decision management, in a broad sense, smart agriculture also includes agricultural e-commerce, food traceability anti-counterfeiting, agricultural leisure tourism, agricultural information services and so on. With the help of smart agriculture, we can realize more complete information support, more thorough agricultural information perception, more concentrated data resources, more extensive interconnection, deeper intelligent management and control and more intimate public services.

Vigorously carry out investment and innovation research around agricultural special sensors, animal and plant growth and development control models, intelligent equipment and other fields. Strengthen the research on key technologies such as special sensors, animal and plant growth information collection and production control mechanism model, focus on promoting the research and development of intelligent agricultural machinery and equipment using various working environments, promote the integrated research and system demonstration of agricultural machinery agronomy and information technology, and strengthen the technological innovation of agricultural machinery and equipment.

Through remote control or autonomous control, the whole process of farm operation will be intelligent and unmanned, and the linkage mechanism of traceability management, risk early warning and emergency recall will be explored, and the construction of standard systems such as big data collection, transmission, storage, sharing and security will be strengthened to promote the information supervision of agricultural product quality and safety. The digital twin technology of graphics software has the characteristics of efficient decision-making and in-depth analysis, which will strongly promote the process of digital industrialization and industrial digitalization.