YunHe smart agriculture project site

YunHe: Building a Digital Countryside

Practical digital solutions for agricultural production.

Mission and operating principles

AI-assisted decisions

Expert knowledge is converted into models, rules, and alerts so production decisions depend less on individual memory.

Data-informed management

Continuous data supports planting, irrigation, fertilization, pest control, and business decisions with traceable processes and measurable results.

Automated operations

Automation is introduced for inspection, spraying, handling, and environmental control to improve stability and safety.

Delivery process

1

Diagnostic survey

Clarify site, crop, facility, team, budget, and project goals.

2

Solution design

Deliver system architecture, equipment list, implementation plan, and acceptance indicators.

3

Build integration

Configure platforms, connect devices, run commissioning, train users, and deliver documents.

4

Operation improvement

Track data, agronomy results, and user feedback to improve project value.

Customers and partners

Zhejiang University
Hunan Hybrid Rice Research Center
九龙县人民政府
Zhejiang A&F University
China Telecom
世合理想大地

News and Insights

Yunhe - Plum-rain season greenhouse tomato fruit-setting management and pest monitoring
AgTech

Plum-Rain Season Greenhouse Tomato Flower-Setting Priorities and Smart Pest Monitoring

Yunhe - Fresh spring edamame flowering, pod set, and field monitoring in the plum rain season
AgTech

Fresh Spring Edamame Flowering, Pod Set, and Field Monitoring in the Plum Rain Season

Yunhe - Kiwifruit fruit expansion and smart orchard monitoring in the plum rain season
AgTech

Kiwifruit Fruit Expansion and Smart Orchard Monitoring in the Plum Rain Season