Preview: Camera Analytics & Intervention Loop
A concise walkthrough: what the camera sees, how models classify plant states, and how actions are scheduled and audited (without exposing proprietary implementation details).
Insights & Whitepapers
In this section you will find high‑level summaries and insights extracted from our internal proposals and lightpapers. These documents capture our vision for intelligent cultivation, outline project phases, provide indicative budgets and highlight the economic benefits of adopting automation and AI.
Concept Demo Video (Coming Soon)
We can provide a short, client‑specific demo video showing the full workflow: camera analytics, event logging, task scheduling and robotic execution. For now, this section is a placeholder so we can swap in an embed link once the demo is approved.
Executive Summary
Our Intelligent Cultivation Automation System (ICAS) transforms medicinal cannabis production into a real‑time, data‑driven process. Using computer vision, sensors, artificial intelligence and selective automation, every plant becomes a monitored entity. Continuous observation replaces periodic inspection, predictive intervention supplants reactive correction, and human oversight remains central.
Industry Challenges
The cannabis industry faces rising labour costs, limited manual scalability, inconsistent yields and late detection of plant stress. Regulatory pressures (GMP/CLP) demand traceability and auditability. ICAS addresses these challenges by reducing human dependence and enabling predictive control.
System Overview
The system is modular and layered:
- Vision layer: cameras observe plants 24/7 for early detection of stress and disease.
- Sensor layer: substrate and environmental probes measure moisture, EC, temperature, CO₂, humidity and differential pressure.
- AI decision layer: machine learning models analyse patterns and anomalies, generate confidence scores and recommend interventions.
- Robotic execution layer: selective interventions like pruning, transplanting or harvesting are performed by collaborative robots under human authorisation.
- Central platform: a unified software platform consolidates data, provides dashboards and ensures compliance.
Project Phases & Roadmap
Our engagement model follows a phased approach:
- Phase 0 – Concept & Architecture: definition of scope, high‑level architecture, risk analysis and preliminary cost model.
- Phase 1 – Pilot Zone: deployment in a single room, installation and calibration of sensors and cameras, standard operating procedures and first data cycle.
- Phase 2 – Scale: expansion to all rooms with standardised SOPs and extended monitoring.
- Phase 3 – Optimisation & Robotics: integration of robotics and continuous model tuning.
Payment structures typically include a fixed fee for Phase 0, a monthly retainer during operations and a success fee tied to validated savings. The contract example indicates a closed price for Phase 0 (around €40k) and retainer of €4k/month, with a 10 % success fee on net savings.
Indicative Budgets
The following bar chart illustrates a representative breakdown of capital expenditure (CAPEX) across key categories in an automation project. Values are indicative and can be tailored based on facility size and technology selections.
In addition, the comparison below highlights typical investment levels for CAPEX versus ongoing operational expenditure (OPEX).
Performance Across Phases
Our experience shows that incremental deployment through phases leads to continuous improvement. The graph below illustrates how yields can rise and costs decrease as the system matures from concept to full intelligent operation.
Benefits & Return on Investment
- Early detection of diseases and stress, enabling timely intervention.
- Reduced operational costs and variability across cultivation cycles.
- Improved consistency in quality and yields.
- Compliance with GMP/CLP and auditable evidence generation.
- Scalability and replicability across future installations.
For detailed proposals and commercial models, please contact us directly. We can tailor a solution for your facility and provide complete documentation under NDA.