Commercial strawberry production on raised growing rows

Gros.farm for berry production

One production system for every berry crop cycle

Run berries in the field, tunnels, greenhouses, substrate systems, or indoor facilities without losing the differences between them. Connect varieties, crop stages, recurring work, harvest waves, quality, and the actual production environment.

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01

Varieties and planting lots

02

Field, tunnel, and protected systems

03

Repeated harvest waves

04

Yield and quality by cycle

Production format matters

The same berry crop behaves differently in each system

A tunnel, greenhouse gutter, open-field row, and indoor rack have different operating units and environmental context. The farm registry should reflect the real production layout.

01 · Place

Field, tunnel, house, row, or gutter

Use the physical unit where work is assigned and results are measured.

02 · Planting

Variety, source, density, and date

Keep lot and establishment data with the active crop cycle.

03 · Development

Stage, observations, and crop load

Follow flowering, fruit development, picking waves, and plant condition.

04 · Result

Output and quality by wave

Compare harvest waves within the same crop and production format.

Farm registry

Model the operation before you measure it

Keep facilities, production areas, active crops or lots, and growing cycles in one structure. The registry gives tasks, observations, metrics, and analytics a shared place and production context.

Explore the farm registry
English Gros.farm registry configured for berry farms

Berry crop stages

Follow development from establishment to the final picking wave

Configure the stages for the crop type, planting material, production system, and farm practice. Keep target ranges and work tied to the active stage.

  1. 01

    Establish

    Record plants, source lot, density, location, and actual planting date.

  2. 02

    Develop

    Track plant growth, canopy work, rooting, and recurring care.

  3. 03

    Flower

    Follow flowering progression, pollination context, and crop observations.

  4. 04

    Set fruit

    Record fruit development, load, irrigation, and protection work.

  5. 05

    Harvest waves

    Coordinate picking, labor, output, and quality across repeated dates.

  6. 06

    Close cycle

    Review the complete result before archiving or renewing the crop cycle.

English cultivation plan with stages for berry farms

Cultivation plans

The farm’s production standard—adapted to the real site

A cultivation plan can hold stages, target ranges, recurring work, recipes, photoperiod, and other production parameters. Templates are starting points, not universal recommendations: review every plan for the crop, facility, equipment, and production objective.

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Daily berry operations

Keep crop work specific to the row, variety, and stage

Scouting, pruning, runner removal, irrigation checks, protection, picking, and grading should carry the exact place and crop context.

Crop walk

Record plant and fruit observations

Use photos, comments, manual values, and connected climate data where available.

Harvest

Plan labor around picking readiness

Assign the correct production area, expected window, and handling instruction.

Quality

Keep grade with the harvest wave

Separate total output from marketable quality and rejected product.

Follow-up

Turn an observation into a task

Keep the issue, assignee, deadline, and completion status in the crop history.

English team journal with production tasks for berry farms
Work stays connected to production

Tasks carry the facility, growing cycle, cultivation-plan stage, date, priority, instruction, and assignee—not just a title and deadline.

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Monitoring and crop observations

Keep the biological event beside the operating data

Add manual observations, key dates, photos, comments, and available automatic or calculated values to the active growing cycle. A shorter, consistently updated monitoring set is more useful than a large table the team cannot maintain.

Explore the monitoring table
English crop journal and observations for berry farms

Production analytics

Compare varieties, cycles, and formats at the right grain

Do not combine tunnel, field, and greenhouse results without their context. Use comparable production units, cycles, and harvest definitions.

Explore metrics and analytics
English production analytics for berry farms
Readiness

Flowering and harvest dates

Compare stage timing by variety and production format.

Output

Yield by wave and cycle

Review both the curve and the total result.

Quality

Marketable share and grade

Keep quality categories consistent across the comparison.

Clear control boundary

Production management above reliable local automation

Gros.farm does not replace PLCs, controllers, SCADA, or local safety scenarios. The local layer remains responsible for physical operation and safe autonomous control.

Local control layer

Operate and protect equipment

Pumps, valves, ventilation, lighting, dosing, interlocks, and emergency scenarios.

Gros.farm production layer

Connect the crop plan and result

Stages, targets, schedules, tasks, data history, analytics, and supported configuration exchange.

Fit the production model

Adapt Gros.farm to the growing system

The platform remains shared, while the registry, stages, tasks, and metrics follow the actual production environment.

Open field

Rows and seasonal plantings

Weather windows, field work, protection, repeated harvest, and quality.

Tunnels and greenhouses

Protected berry production

Crop stages, climate context, irrigation, crop work, and picking waves.

Substrate and indoor

Gutters, racks, and controlled cycles

Batches, recipes, pH and EC context, lighting where relevant, and output.

GFAi with farm context

Compare berry cycles with the production format attached

GFAi can help find gaps and comparable histories, but a detected association is not proof that one factor caused a crop result.

It does not replace the grower, agronomist, technologist, or controls engineer responsible for the decision.

Questions to investigate

  1. Which harvest waves had the highest marketable share for this variety?
  2. How did stage timing differ between tunnel and open-field cycles?
  3. What observations are missing before we compare irrigation changes?

Start with one working production contour

Prove the daily workflow before scaling the farm

You do not need to digitize every site, crop, and integration at once. Start with one active cycle that the team can keep current.

  1. 01

    Add one production area

    Choose a field block, tunnel, greenhouse zone, or substrate row.

  2. 02

    Add the active berry cycle

    Record variety, plant source, stage, and the next recurring operations.

  3. 03

    Follow one harvest wave

    Assign work and record timing, output, quality, and observations.

Questions before setup

What to know about this sector solution

Can Gros.farm handle both open-field and protected berries?

Yes. Use separate production areas and cycles so each format keeps its own structure, stage logic, observations, and results.

Can we track several harvest waves?

Yes. Harvest dates, output, and quality can be recorded across the active cycle and reviewed with other production events.

Do we need sensors to begin?

No. The registry, cultivation plan, tasks, manual observations, and harvest records can be used first. Add data sources later when they support a defined decision.

Does the system recommend a universal berry recipe?

No. Plans and target ranges must be adapted to the crop, variety, planting material, production format, equipment, and farm practice.

Field, tunnel, greenhouse, or indoor

Build one connected production history

Manage berry varieties, crop cycles, harvest waves, quality, tasks, and observations across different production formats.

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