Spring breezes spur the rush of farm work. In open vegetable fields in Jiading, Shanghai, a gleaming piece of equipment shuttles back and forth — this is the operation site of Azure Engine AI-powered laser weeding robots. Recently, its efficient and precise performance has drawn numerous overseas customers to visit for on-site study and business negotiations. They are not merely observing a novelty, but verifying the actual effectiveness of smart agricultural technologies put into practice.

What makes this robot outstanding? Equipped with precise visual recognition akin to piercing golden eyes, it accurately distinguishes crops from weeds without damaging seedlings. Laser weeding causes no soil contamination and effectively restrains weed growth, delivering genuine green plant protection. Tireless in operation, a single unit covers a vast working area with efficiency dozens of times higher than manual labor; it runs nonstop 24 hours a day, eliminating worries about labor shortages during peak farming seasons!
Technology is far more than a display exhibit — it is productive force. At present, Azure Engine AI-powered laser weeding robots have been officially deployed for field operations. Boasting technical strengths of non-contact treatment, zero chemical residues and high intelligence, they are driving a productivity transformation in modern agriculture, shifting reliance from manpower to computing power. The robots are now fully engaged in spring ploughing services, delivering tangible performance to reduce farmers’ burdens and boost yields and profits.
-
Representatives from Xinxiaogong Development Fund, Shandong Land Development Group and Everbright Securities Visited Cyan Force for Exchange and Discussion2026/04/03

-
Researchers from Shanghai Academy of Agricultural Sciences Conduct Research at Jiading Digital Unmanned Farm; Cyan Force AI Laser Weeding Robots Attract Wide Attention2026/04/02

-
Cyan Force AI Laser Weeding Robots Conduct Field Weeding Operations for Open-Field Vegetables in Shanghai2026/03/23




