Arabfields, Farah Benali, Economic Correspondent, China — China’s satellite navigation system, BeiDou Navigation Satellite System, is rapidly transforming the country’s agricultural sector as farmers increasingly rely on autonomous machinery, drones and precision data tools to improve productivity and reduce labor costs.

Across major farming regions, from the wheat fields of eastern China to large grain-producing areas in the northeast, satellite-guided equipment has become a central part of daily agricultural operations. Tractors equipped with autonomous navigation systems are now capable of plowing fields with centimeter-level accuracy, while crop-protection drones automatically follow programmed spraying routes controlled through mobile applications.

Industry estimates released in 2026 show that more than 2.7 million BeiDou-enabled agricultural terminals are currently operating nationwide, reflecting strong growth in China’s smart farming industry. Analysts expect the figure to surpass 3.5 million units by 2028 as rural modernization programs continue expanding across the country.

Farmers in Jiangsu Province say the technology has dramatically improved efficiency during critical growing periods. On a family-operated wheat farm near Hai’an, drone operators are able to manage thousands of mu of farmland with only a small technical team. Local growers report that automated spraying systems have reduced pesticide waste while improving coverage consistency during the spring season.

In Liaoning Province, autonomous tractors guided by satellite coordinates are helping farmers maintain precise planting rows and reduce overlap during seeding and fertilization. Agricultural technicians say this level of accuracy was difficult to achieve with conventional machinery, particularly over large farming areas.

Behind the rapid expansion is a growing national infrastructure network designed to support high-precision positioning services. More than 5,000 ground reference stations have been installed across China to provide real-time correction data for farming equipment. The system allows agricultural machines to receive satellite signals and differential positioning information simultaneously, enabling highly accurate field operations.

Technology companies involved in the sector say the integration of satellite navigation with artificial intelligence, cloud computing and Internet of Things platforms is reshaping modern agriculture. Drones connected to multispectral imaging systems can now identify crop stress, monitor disease risks and detect uneven plant growth before visible damage spreads across fields.

Machine learning systems are also being introduced into rice production. During transplanting operations, cameras and computer vision software can automatically identify missing seedlings and upload field data to cloud platforms for rapid corrective action. Agricultural experts believe these systems could significantly improve yields in regions facing labor shortages.

The expansion of BeiDou technology has also accelerated the modernization of China’s domestic agricultural machinery industry. Manufacturers are increasingly connecting farming equipment directly to nationwide IoT service platforms, allowing maintenance teams to track machinery performance and respond more quickly during busy planting and harvest seasons.

According to projections from agricultural research groups, China’s precision agriculture market could grow by more than 18 percent annually over the next four years. Analysts expect autonomous farm machinery and satellite-based field management systems to play a larger role in grain security policies as the country seeks to stabilize food production while coping with rising labor costs and climate pressures.

Experts believe future developments will focus on fully connected digital farming systems capable of sharing operational data between tractors, harvesters and drones in real time. Such integration could reduce fuel consumption, lower operational errors and improve overall crop management efficiency across large-scale agricultural zones.

For many rural communities, the shift represents more than a technological upgrade. Younger farmers returning to agricultural regions are increasingly adopting digital tools once associated mainly with industrial sectors, signaling a broader transformation in how farming is managed in the world’s second-largest economy.