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Technical Architecture

Crop Urbanis Platform — Technical Architecture

A concise partner-facing technical record aligned with the Technology page and current Product Status register.

Technical principles

Preserve distinctions that affect trust.

A source claim is not automatically a project fact; a reproducible calculation is not a guaranteed outcome; AI assistance is not professional approval.

Logical architecture

Six functional layers from permitted source to structured output.

Intake and permission boundary

Project context, authorised users, roles, source files, versions and permitted purpose.

Provenance-preserving extraction

Candidate values and statements with source, location, wording, raw value and extraction state.

CEA project model

Project objects, requirements, constraints, assumptions, alternatives, owners and dependencies.

Rules and design-case services

Conversions, completeness checks, calculations, sensitivity and explicit gates.

Review, change and approval

Corrections, issues, professional reviews, approval states and affected work.

Output and integration boundary

Comparisons, assumption registers, design-case summaries, decision records and supported exports.

CEA project data model

Source, project, model, review and control records remain connected.

Source records

Document, version, location, wording and permitted use.

Project records

Requirement, constraint, assumption, alternative, issue, risk and decision.

CEA objects

Site, crop, production target, environmental requirement, equipment, utility and supplier.

Model records

Owner, version, method, inputs, units, validity scope, tests and limitations.

Control records

Organisation, role, permission, dependency, approval state and audit event.

Material-value record

A technical value travels with its source and operating conditions.

The record retains original statement, source reference, raw value, normalised value, operating conditions, evidence status, extraction confidence, review status, validity scope, version and dependencies.

Confidence and authority

Extraction confidence, evidence status, review status and uncertainty are different fields.

Extraction confidence
Did the process read the source correctly?
Evidence status
What kind of evidence supports the value?
Review status
Has a responsible person accepted, corrected, rejected or left it unresolved?
Uncertainty
How uncertain is the real-world quantity even after correct extraction and review?

Bounded AI tasks

AI works on defined information tasks, not professional authority.

May assist

Classification, candidate extraction, terminology mapping, permitted retrieval and draft comparison or clarification text.

Task envelope

Named task, permitted sources, output schema, source references, model and task version, validation rules and review state.

Does not own

Source authority, supplier warranties, engineering or agronomic approval, commercial selection, project acceptance or live control.

Model governance

Calculations are versioned; design cases remain conditional.

Rules and completeness checks

Required fields, units, thresholds, compatibility and project gates.

Engineering and production models

Capacity, utilities, environmental loads, crop cycles and resource assumptions.

Techno-economic models

CAPEX, OPEX, revenue assumptions, sensitivity and design-case comparison.

Expert assumptions and AI outputs

Remain separately identified, owned, reviewed and limited.

Evaluation

Evaluate components separately before expanding the workflow.

Document extraction

Critical-field precision and recall, source-location accuracy, unit error, missing-field recall and reviewer time.

Retrieval and AI assistance

Source accuracy, context coverage, unsupported-output rate, abstention and reviewer outcomes.

Data and calculations

Schema coverage, dimensional consistency, reproducibility, benchmark deviation and affected-record detection.

End-to-end workflow

Time to reviewable comparison, unresolved critical inputs, review effort, decision-record completeness and critical-error escape.

Deployment boundary

Internal workflow first; organisational hardening next.

Current internal workflow, organisational hardening and later integration work are reported as separate states. The public brief contains no cloud-credit allocation page.

Current internal workflow
Versioned project records, permitted source files, document processing, rules, calculations, reviews and structured outputs.
Organisational hardening
Authentication, roles, organisation separation, monitoring, data lifecycle, backups, recovery and support.
Later integration
Project-system integrations, operating-data feedback, image and sensor workflows under defined conditions.

Interoperability

Structured for integration without claiming standards compliance.

Stable identifiers, explicit units, source references, versions and structured records preserve future mapping and export options. No certification or native compatibility is claimed.

Discuss a technical or validation scope.

Submit high-level context only; do not send confidential project or supplier files through the public website.