Visibility across facilities
Review production status, important exceptions, responsibilities, and results without rebuilding the picture from separate files.
Gros.farm product tour
One operating system for the cultivation cycle
Connect the farm structure, crop technology, growing cycles, daily work, monitoring, analytics, and supported local automation in one production record.
- Start with one real facility
- Manual data is enough for the first workflow
- Add sensors and automation only where useful
Production contextFacility → crop cycle → stage
One historyPlan, work, data, result
- 01
Describe the farm
Organizations, sites, facilities, blocks, fields, rooms, zones, crops, and growing cycles become a shared production structure.
- 02
Define the crop technology
Cultivation plans hold stages, reviewed targets, recurring work, recipes, photoperiod, and available automation parameters.
- 03
Collect what actually happened
The team completes tasks and observations while manual input, sensors, weather, and supported integrations add operating data.
- 04
Compare, decide, and preserve the result
Monitoring and analytics show exceptions in context, while decisions, work, and crop-cycle outcomes remain connected in history.
Inside the product
Follow the production cycle through seven connected views
These are real Gros.farm interfaces. Choose a production layer to see how the farm structure, crop plan, daily execution, current state, and result stay connected.
01 · Structure
Start with the real operating structure
Sites and facilities share one workspace. Each facility keeps its crops, growing cycles, people, tasks, metrics, and history.
- multiple production areas;
- roles and access for the team;
- context that scales with the farm.
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A shared production foundation
Each module answers a different part of the same operating question
Gros.farm is not a collection of disconnected tools. The farm registry identifies where production happens, the crop plan defines what should happen, the team records the work, monitoring captures the current state, and analytics explains the resulting history.
Where?
Farm registry
Describe sites, facilities, zones, batches, and the current production state.
Explore →What should happen?Cultivation plans
Keep stages, targets, recurring work, and operating instructions together.
Explore →What needs doing?Tasks and team
Turn production technology and on-site events into assigned work.
Explore →What is happening?Monitoring table
Capture the observations and values the team reviews consistently.
Explore →What changed?Metrics and analytics
Compare actual values, reviewed targets, facilities, and periods.
Explore →One system, role-specific work
Keep every role in the same production context
Access and daily views can differ, but the facility, crop cycle, stage, task, observation, and result remain connected.
Crop technology and evidence
Work with cultivation plans, observations, targets, tasks, and crop-cycle history in the same context.
Plan, assign, and verify work
Coordinate deadlines and responsibilities by facility while keeping the production reason attached to each task.
Clear work at the right place
Receive assigned work with the location, date, priority, and instruction, including an offline mobile workflow.
Connected production
Bring engineering data into crop context without replacing local control
Gros.farm can connect supported controllers, climate computers, sensors, and irrigation nodes. Local automation remains responsible for physical operation, interlocks, emergency logic, and safe behavior when cloud connectivity is unavailable.
Targets and history
Equipment and climate
Connect reviewed crop-stage targets with available facility data and local control.
Reviewed strategyIrrigation automation
Configure time slots, accumulated-radiation rules, calibration, and a local Safety schedule.
Existing infrastructureAutomation integrations
Assess a read-only or reviewed writable connection for the systems already installed.
Production context for AI
AI can work with the permitted facts of a specific farm
GFAi is designed to connect existing AI models to facilities, crop plans, metrics, work, events, and history. It can help assemble evidence and prepare drafts, while responsibility and confirmation stay with people.
Explore GFAi- 01 Read the permitted production context
- 02 Separate facts, missing data, and hypotheses
- 03 Prepare a briefing, document, or draft action
- 04 Require review before a production change
- 05 Keep the completed action and result in history
Where Gros.farm fits best
Production with repeatable crop technology and a team
- several facilities, blocks, sections, rooms, fields, or crop batches;
- stage-specific targets and repeatable operations;
- a need to compare planned and actual work or conditions;
- a team that needs one shared production record.
Product boundaries
What Gros.farm does not claim
- It does not replace an agronomist or engineering specialist.
- It does not replace PLCs, SCADA, or local emergency automation.
- It does not require proprietary sensors for every workflow.
- It does not guarantee yield, profit, or universal equipment compatibility.
A practical first setup
Build the first production contour around one active facility
Avoid migrating the entire farm at once. Start with the structure and work the team needs now, then add history and integrations as they become useful.
- 01
Create the organization and one facility
Match the real production structure and confirm coordinates, time zone, and day/night schedule.
- 02
Add the active crop and cultivation plan
Review the current stage, target ranges, recurring work, and the monitoring set the team can maintain.
- 03
Invite the team and run the first workflow
Start with the nearest work and observations; connect historical data and automation only when they support a clear result.
Product tour FAQ
Questions before starting
Do we need to migrate every spreadsheet before starting?
No. Start with one active facility, its current crop cycle, the nearest work, and a small monitoring set. Import or reconstruct older history only when it is useful for operations or comparison.
Are sensors required?
No. Many workflows can begin with manual observations, tasks, crop plans, registry data, and weather information. Sensors and integrations are added where they improve a defined workflow.
Does Gros.farm replace our PLC, SCADA, or climate computer?
No. Local systems remain responsible for physical operation, regulation, interlocks, emergency logic, and safety. Gros.farm adds crop context, reviewed targets, data history, and supported integrations.
Can we adapt templates to our own production technology?
Yes. Templates are starting points, not universal recommendations. Review stages, targets, tasks, recipes, and parameters for the actual crop, facility, equipment, and production objective.
Who is Gros.farm designed for?
It is most useful when production has repeatable crop technology, several active facilities or batches, a team, and a need to connect planned work with actual conditions and results.
See your workflow in Gros.farm
Show us one facility, one crop cycle, and the work around it
We will map the smallest useful setup and identify which data, modules, and integrations belong in the first phase.