Connect data to the field
Environmental readings are linked to farms, production spaces and devices, so you can see where each reading came from and when it was collected.
A crop-centered AI operating system for agricultural production
From environmental monitoring and planting plans to farm tasks and intelligent analysis, YunHe connects scattered data and work records, helping farm managers understand production and field staff see what to do next.

Image: AI generated
Organize production spaces, planting plans and crop batches, keeping plans distinct from actual production records.
Review devices, measurement points and environmental changes together, identifying missing or delayed data and conditions that need attention.
Schedule daily production tasks and follow up responsibilities, progress and execution records.
Managing a farm means understanding crop growth, field conditions, staffing and work progress together. YunHe organizes information around these daily activities for review and follow-up.
Environmental readings are linked to farms, production spaces and devices, so you can see where each reading came from and when it was collected.
Farm tasks record the work, responsible person, planned time and progress to support scheduling and follow-up.
Planting plans, crop batches and farm records are linked, making it easier to review the work carried out for each batch.
Organize farm spaces, crops, devices and people to build a continuous record of daily production.
Built around farms and crop batches, YunHe connects planting, environmental conditions, farm work and analysis in related workspaces.
Organize production spaces, planting plans and crop batches, keeping plans distinct from actual production records.
Explore planting managementReview devices, measurement points and environmental changes together, identifying missing or delayed data and conditions that need attention.
Explore environmental monitoringSchedule daily production tasks and follow up responsibilities, progress and execution records.
Explore farm task managementGet explanations and recommendations based on your questions and authorized data to support production decisions.
Explore the Digital AgronomistAsk the Digital Agronomist about environmental changes, farm work and production risks. Use available farm information and production records to review supporting evidence, data dates and suggested next steps.
Use relevant farm and production data within your authorized scope to understand specific questions.
Distinguish model knowledge from production facts and flag insufficient data or quality issues.
Production staff review analyses and recommendations. Equipment operations follow the applicable authorization process.
From a single greenhouse to multiple farms, define the right scope around actual crops, spaces, devices and people.

Link planting plans, environmental monitoring and daily farm work for greenhouses, keeping each production space in view over time.

Organize records around fields, crop batches and seasonal work, using field data and weather information to help plan production.

Review production across farms within your authorized scope, then open a specific farm to follow up the work.
Scene imagery: AI generated
Discuss your requirementsIdentify the farm's current management problem, then review data, devices and workflows to define the initial scope.
Discuss crops, production spaces, responsibilities, and your current records and management practices.
Review existing devices, data sources and network conditions to establish integration scope and any information needed.
Choose a specific production workflow and agree on its users, working practices and acceptance criteria.
Configure and verify the agreed scope, provide usage guidance, and follow up issues encountered in practice.
Tell us what you grow, how production is organized and which parts of management you want to improve. Together we can assess where YunHe fits and what integration requires.
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