Swarm Robotics Covers 10,000-Acre Unmanned Farm: Efficiency Surpasses Manual Labor by 20x

Swarm Robotics Covers 10,000-Acre Unmanned Farm

On February 10, 2028, DJI Agriculture and XAG jointly announced in Aksu, Xinjiang that their collaborative 10,000-acre unmanned cotton farm has entered full-cycle operations. Spanning approximately 12,000 mu (1,977 acres), the farm deploys 200 swarm robots covering the complete agricultural chain from planting, fertilization, irrigation, pest management, to harvest.

"This isn't a showcase — it's commercial operations," said DJI Agriculture president Luo Zhenhua. "This year's cotton yield is expected to be 15% higher than conventional farms of the same area, while labor costs drop 90%."

System Architecture

The farm's robotic system has four functional layers:

1. Perception: 50 agricultural drones forming an inspection network, conducting twice-daily hyperspectral imaging to generate real-time maps of crop health, soil moisture, and pest distribution.

2. Decision: An edge-deployed AI decision system called "AgriBrain" that synthesizes perception data with weather forecasts to generate optimal farming operation plans.

3. Execution: 120 ground robots (30 planting, 40 fertilizing/spraying, 50 harvesting) and 30 large agricultural drones executing specific tasks based on AgriBrain instructions.

4. Coordination: Swarm algorithms enabling real-time position and task sharing among robots, preventing duplicate operations and collisions while optimizing path planning.

Efficiency Comparison

Metric	Unmanned Farm	Conventional	Improvement
Planting	600 mu/day	50 mu/day	12x
Fertilizing	800 mu/day	80 mu/day	10x
Harvesting	400 mu/day	20 mu/day	20x
Labor cost/mu	45 yuan	480 yuan	91% reduction
Water/mu	280 m3	420 m3	33% reduction

Agricultural Labor Transition

Xinjiang produces approximately 5 million tons of cotton annually — 85% of China's total. Cotton harvesting traditionally depends heavily on seasonal migrant labor. Unmanned farms could fundamentally change this model.

"Unmanned farms don't eliminate agricultural employment — they transform it from physical labor to technical management," said Xinjiang Agricultural University professor Ma Xingwang. DJI has partnered with Xinjiang Agricultural Vocational College to launch a "Smart Agricultural Robot Operations" program, with 50 students enrolled for fall 2028.

Technical Challenges

Key challenges include autonomous navigation in complex terrain (irrigation channels and field ridges), multi-robot communication latency across large areas, and equipment reliability in extreme conditions (40 degrees Celsius summer heat, frequent sandstorms).

"In summer 2027, our robots survived three sandstorms," said XAG co-founder Gong Jiaqin. "Seven robots had sensor failures in the first one. By the third, failure rates dropped to zero. Edge learning and rapid iteration are key."

Expansion Plans

DJI Agriculture plans to replicate the unmanned farm model in Heilongjiang, Henan, and Shandong provinces during 2028-2029, covering rice, wheat, and corn. The target is 20 ten-thousand-acre demonstration farms by 2030.