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Turn agronomic workflows into expert-reviewed digital tools

Structure project data, crop protocols, SOPs, KPI logic and AI-assisted workflows for feasibility, training, diagnostics and post-launch optimisation in vertical farms and greenhouses.

Pilot-ready with selected partners; AI supports expert agronomic review, not autonomous final decisions
Discuss a digital agronomy pilot

When you need this service

When a greenhouse, vertical-farm operator, supplier, research partner or investor needs repeatable data models, dashboards, SOP workflows or AI-assisted agronomic support without removing expert review.

Digital agronomy workflow and dashboard planning
Operational optimisation dashboard and SOP workflow

What we deliver

  • Project-data schema for site, utilities, crop targets, budget assumptions, protocols, SOPs and operating constraints.
  • AI-assisted agronomic knowledge retrieval and SOP/training generation workflow with human-review checkpoints.
  • KPI dashboard plan covering yield, quality, labour, energy, cycle stability, issue frequency and optimisation actions.
  • Model-evaluation and guardrail checklist for diagnostics, computer-vision/sensing experiments and client-facing outputs.

How the engagement works

  1. Workflow & Data Intake

    Map the current agronomic workflow, available data, privacy constraints, infrastructure preferences and pilot success criteria.

  2. Schema & Knowledge Layer

    Structure project inputs, protocols, SOPs, observations and validated references into a reusable knowledge and data model.

  3. AI Workflow Prototype

    Configure retrieval, drafting, dashboard or diagnostics workflows, then define expert-review checkpoints and acceptance criteria.

  4. Pilot Validation

    Test outputs against agronomic ground truth, field context and partner feedback before extending the workflow.

Typical timeline

Typical timeline — scoped per pilot

Expected outcomes

Partners receive a clearer data model, practical AI-assisted workflow, review process and dashboard/SOP direction that can support repeatable controlled-environment agriculture operations.

Related projects

FAQs

Is this a standalone SaaS product?

It is a pilot-ready decision-support product for selected partners, not a public self-serve SaaS. The scope, data access, review process and outputs are defined case by case.

Does AI replace the agronomist?

No. AI supports retrieval, drafting, dashboards and diagnostics preparation. Final recommendations remain reviewed and adapted by an agronomy expert.

More answers from the FAQ

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