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Drone operator is calibrating a drone, Zigui County, central China's Hubei Province, April 1, 2026. /VCG
Drone operator is calibrating a drone, Zigui County, central China's Hubei Province, April 1, 2026. /VCG
In the post-poverty alleviation era, China's rural revitalization is increasingly powered by emerging technologies.
From mountainous orchards in central China to vast cotton fields in the northwest, drones and artificial intelligence (AI) are quietly reshaping how agriculture is produced, transported and sustained, helping farmers reduce costs, improve efficiency and increase incomes.
In Zigui County, central China's Hubei Province, a major citrus-producing region with challenging mountainous terrain, agricultural drones are playing an expanding role in logistics and farming operations. According to local reports, the county has deployed more than 700 agricultural drones to support various agricultural activities, including transportation assistance in difficult terrain and orchard management.
Zigui is one of China's key citrus production bases, with annual orange output reaching around 700,000 tonnes according to industry and local government data. In recent years, the integration of drone technology and digital logistics has helped improve access to markets for fruit grown in remote mountain areas, reducing transportation constraints caused by steep terrain.
Further west in Xinjiang Uygur Autonomous Region, AI and smart agriculture technologies are reshaping large-scale cotton farming. In Yuli County, a demonstration project known as a "super cotton field" has achieved a high level of mechanization and digital management, with approximately 75% of field operations now unmanned.
According to local agricultural reports, the application of AI, Internet of Things systems, and intelligent machinery has enabled precision irrigation, automated monitoring, and data-driven crop management. The project has reported cotton yields of about 520 kilograms per mu (about 7,800 kilograms per hectare), reflecting improved productivity under smart farming systems.
Beyond production and logistics, digital agriculture is also reshaping rural employment patterns. The expansion of drone services and smart farming systems has created new job opportunities for rural workers, particularly young people returning to their hometowns. These roles include drone operators, agricultural technicians, and maintenance personnel for AI-driven systems.
In eastern China, similar trends are emerging as technology-driven agricultural services expand. Training programs and digital platforms are helping to equip rural workers with new skills, enabling participation in modernized agriculture with lower entry barriers.
Overall, these developments highlight a broader transformation in China's agricultural sector. Drones are improving operational efficiency in complex terrain, AI is enabling precision farming at scale, and digital technologies are creating new pathways for rural employment and income growth.
Drone operator is calibrating a drone, Zigui County, central China's Hubei Province, April 1, 2026. /VCG
In the post-poverty alleviation era, China's rural revitalization is increasingly powered by emerging technologies.
From mountainous orchards in central China to vast cotton fields in the northwest, drones and artificial intelligence (AI) are quietly reshaping how agriculture is produced, transported and sustained, helping farmers reduce costs, improve efficiency and increase incomes.
In Zigui County, central China's Hubei Province, a major citrus-producing region with challenging mountainous terrain, agricultural drones are playing an expanding role in logistics and farming operations. According to local reports, the county has deployed more than 700 agricultural drones to support various agricultural activities, including transportation assistance in difficult terrain and orchard management.
Zigui is one of China's key citrus production bases, with annual orange output reaching around 700,000 tonnes according to industry and local government data. In recent years, the integration of drone technology and digital logistics has helped improve access to markets for fruit grown in remote mountain areas, reducing transportation constraints caused by steep terrain.
Further west in Xinjiang Uygur Autonomous Region, AI and smart agriculture technologies are reshaping large-scale cotton farming. In Yuli County, a demonstration project known as a "super cotton field" has achieved a high level of mechanization and digital management, with approximately 75% of field operations now unmanned.
According to local agricultural reports, the application of AI, Internet of Things systems, and intelligent machinery has enabled precision irrigation, automated monitoring, and data-driven crop management. The project has reported cotton yields of about 520 kilograms per mu (about 7,800 kilograms per hectare), reflecting improved productivity under smart farming systems.
Beyond production and logistics, digital agriculture is also reshaping rural employment patterns. The expansion of drone services and smart farming systems has created new job opportunities for rural workers, particularly young people returning to their hometowns. These roles include drone operators, agricultural technicians, and maintenance personnel for AI-driven systems.
In eastern China, similar trends are emerging as technology-driven agricultural services expand. Training programs and digital platforms are helping to equip rural workers with new skills, enabling participation in modernized agriculture with lower entry barriers.
Overall, these developments highlight a broader transformation in China's agricultural sector. Drones are improving operational efficiency in complex terrain, AI is enabling precision farming at scale, and digital technologies are creating new pathways for rural employment and income growth.