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USE CASES / SEED

Seed intelligence

Digitize the seed lifecycle.
Protect every generation.

Connect production planning, grower execution, trials, quality, processing and inventory with traceability from parent seed to commercial lot.

End-to-end seed operations

One operating context from plan to inventory.

Cropin standardizes complex distributed processes while preserving variety, generation, grower, plot and lot-level lineage.

01

Production planning

Align demand, multiplication ratios, geographies, growers and seasonal capacity.

02

Grower management

Digitize onboarding, contracts, plots, protocols, inspections and activity evidence.

03

Crop monitoring

Track stage, health, isolation, stress, disease and expected harvest.

04

Quality assurance

Connect inspections, samples, tests, exceptions and corrective action.

05

Lot traceability

Maintain lineage across parent seed, production fields, processing and inventory.

06

Trial intelligence

Compare variety performance across location, climate, practice and season.

Seed Intelligence platform

One operating view for every seed plot, grower and season.

Bring production, crop progression, yield outlook and disease evidence into the same operating context used for trials, grower execution, quality and inventory decisions.

01 · PORTFOLIO VISIBILITYSee growers, seed plots, acreage, advisories and open alerts together.
02 · YIELD + GROWTHCompare forecast yield and harvest progress with production targets.
03 · DISEASE EARLY WARNINGReview probability, symptoms, warning history and field verification.
04 · PLOT INTELLIGENCETrack stage progression, greenness, weather, yield and disease signals.

Phenotyping in Seed

See the phenotype. Ask OrbitAI what it means.

Vision models can identify, count and measure visible crop and seed characteristics. OrbitAI brings those outputs together with variety, plot, trial, weather and production context, so teams can investigate exceptions and move from evidence to action.

OrbitAI analyzing a sunflower image and identifying Sclerotinia Head Rot with symptoms, confidence and follow-up questions
ORBITAI · SUNFLOWER DISEASE ANALYSISImage evidence becomes a contextual seed-production decision.
  1. 01Analyze

    Interpret the supplied crop image.

  2. 02Contextualize

    Connect variety, plot, weather and crop signals.

  3. 03Verify

    Expose confidence and request agronomist review.

  4. 04Act

    Prioritize inspection, containment and follow-up.

VISION MODEL + AGENT

From a sunflower image to the next verified action.

In this example, OrbitAI reviews a sunflower head, identifies likely Sclerotinia Head Rot, explains the visible symptoms and surfaces related questions about crop greenness, rainfall risk and yield deviation.

AGENT OUTCOMEGround the visual diagnosis in plot, variety, weather and crop intelligence, then route the exception for human verification.
PHENOTYPING EVIDENCE

Measure visible traits across trial, crop and specimen imagery.

Use computer vision to create consistent, reviewable observations for seed R&D, trials, production monitoring and quality workflows.

Vision model output detecting plants and fruits across a field
PLANT + FRUIT COUNTINGStand count and visible reproductive traits
Vision model output counting kernels on a corn cob
KERNEL COUNTINGSpecimen-level count and measurement
Vision model output identifying leaves and measuring leaf dimensions
LEAF PHENOTYPINGLeaf shape, dimensions, shade and canopy area
01Ask

Select a crop, variety, trial or production question.

02Invoke

Run the relevant vision and domain models.

03Compare

Evaluate traits across plots, varieties and seasons.

04Verify

Route exceptions to breeders, agronomists or quality teams.

05Act

Update the approved seed workflow and evidence trail.

EXAMPLE MODEL OUTPUTS · DEPLOYMENT ACCURACY DEPENDS ON IMAGE QUALITY, CROP, TRAIT, CALIBRATION AND LOCAL VALIDATION · HUMAN REVIEW REMAINS PART OF CONSEQUENTIAL DECISIONS

Decision intelligence

Know where quality and supply are moving off plan.

Combine field execution with crop, weather and geospatial signals to prioritize inspections, estimate production and manage risk before processing.

Production forecastHarvest readinessDisease riskGrower performanceQuality exceptionsInventory outlook

Connect every seed decision

Build traceability, quality
and intelligence into the lifecycle.

Transform seed operations ↗