Zoomlion Smart Farm Featured on CCTV for Three Straight Days
September 11,2026
Recently, Zoomlion Yuelu Smart Farm was featured on CCTV news reports for three consecutive days, drawing widespread attention. From Xinwen Lianbo to News Live, the cameras focused on a "smart brain" that is fundamentally changing China's agricultural production methods. This recognition affirms Zoomlion Smart Agriculture's technical strength and sends a clear signal: new quality productive forces in agriculture, represented by artificial intelligence, the Internet of Things, and big data, are accelerating the shift from technology demonstration to large-scale adoption.

In 2024, the Ministry of Agriculture and Rural Affairs issued the "Guidance on Vigorously Developing Smart Agriculture" and the "National Smart Agriculture Action Plan (2024–2028)." In 2026, the Central No. 1 Document first explicitly proposed "developing new quality productive forces in agriculture according to local conditions and promoting the integration of artificial intelligence with agricultural development." The State Council issued the "15th Five-Year Plan for Accelerating Agricultural and Rural Modernization," further requiring "advancing the application of artificial intelligence and the development of smart agriculture" and "improving the integrated space-air-ground agricultural observation network." Zoomlion Smart Agriculture's repeated coverage comes against this backdrop, demonstrating innovative breakthroughs in smart agriculture as an industry benchmark.

Under CCTV cameras, the most visible change at Zoomlion Yuelu Smart Farm is happening "in the sky." Traditionally, manually patrolling four to five hundred mu of fields took one to two hours. Now, drones equipped with multispectral cameras can fly up to 120 meters high and complete the entire patrol in just 20 minutes. Their zoom can exceed 100x. When suspected pest infestations, water level deviations, or weak growth are detected, the drones descend to low altitude and take close-up shots of suspicious areas for verification. After images are transmitted back in real time, cloud-based AI algorithms analyze them and automatically generate color-coded rice growth maps. The system can pinpoint 3 m × 3 m grids and clearly identify where water or fertilizer is needed and in what amount. This data-driven decision-making model has fundamentally replaced the crude management approach of "walking fields by experience."
After "sky patrols" identify issues, "ground management" must execute precisely. Zoomlion Smart Agriculture's self-developed precision irrigation technology and IoT equipment have been fully deployed at Yuelu Smart Farm. Operators can remotely control the system through the farm management platform. Based on water level data transmitted by sensors, the system automatically opens and closes drainage and intake gates, enabling precise water level control without on-site manual operation. Farmers have farming apps on their phones with dynamic calendars, real-time task updates, and one-click viewing and execution of farmwork schedules. Mini weather stations scattered across fields record wind, rain, and light data. Aggregated, this becomes big data for field production, providing first-hand references for farmwork decisions and building a data closed loop covering the entire crop cycle from tillage to harvest.

More notably, Zoomlion Smart Agriculture's exploration goes beyond technology validation at a single farm. It has formed a complete, replicable, and scalable solution applicable to farmland under different conditions in southern and northern China. Addressing the industry pain point of "making the input-output equation clear," the company has launched a smart agriculture socialized service model aimed at large-scale planting.
According to reports, this model is based on an integrated "space-air-ground-human-machine" sensing network combined with a self-developed agricultural large model. It builds a full-chain closed loop of "sensing–decision–execution–trusteeship," upgrading from simple technology stacking to "crop outcome delivery." Currently, it covers 14 provinces including Hunan, Anhui, and Xinjiang, with cumulative service area exceeding 10 million mu. Practical data shows this model can reduce water use by 30%, cut fertilizer use by 15%, save 128 yuan per mu in inputs and labor costs for served fields, and increase overall yields by 10% to 15%.
Numerous authoritative recognitions also confirm Zoomlion Smart Agriculture's leading position. In May 2025, the "Whole-Process Smart Rice Cultivation Model" was released as the first of the nation's first batch of smart agriculturerepresentative cases. In March 2026, the "Service Specification for Whole-Process Precision Fertilization of Rice," led by Zoomlion, was formally implemented, becoming Hunan Province's first local standard for precision rice fertilization. Recently, the "Integrated Smart Agriculture Solution" ranked among the top five nationally in the drone field patrol solutions track of the 2026 Smart Agriculture Innovation Competition. The project "Integration and Promotion of Whole-Process Digital Rice Production Technology" won second prize in the Agricultural Technology Extension Achievement Award category of the 2022–2024 National Agriculture, Animal Husbandry, and Fisheries Harvest Award. At a critical moment when domestic smart agriculture is moving from technology demonstration to large-scale promotion, Zoomlion Smart Agriculture has demonstrated its benchmark strength through a series of tangible achievements.

As artificial intelligence integrates more deeply with agricultural scenarios, more "new agricultural tools" will safeguard China's food security, and farming will become smarter. With drones flying in the sky, sensors measuring in the fields, AI computing in the cloud, and farm machinery working the land, Chinese agriculture is moving from "relying on the weather" to "farming with weather knowledge," becoming a vivid illustration of Chinese-style agricultural modernization.
Source : www.51cm.org
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Tags : Zoomlion smart agriculture Yuelu Smart
