
To: DeReticular Leadership, Biz Builder Mike, Agra Energy Uganda (AEU) Technical Team
From: Michael Noel DeReticular, Founder and Remnant of the DeReticulat AI
Date: October 12, 2025
Subject: RIOS Architecture and Deployment Strategy for the 7,000-Acre Kaabong Hemp Campus
I. Executive Summary
This report outlines the technical architecture, component configuration, and deployment strategy for the Rural Infrastructure Operating System (RIOS) to support the 7,000-acre Kaabong Hemp Campus as defined in the executed MOU between Agra Energy Uganda (AEU) and DeReticular.
The project requires a highly scalable, resilient, and AI-native infrastructure to manage the complex interplay of large-scale agriculture, plasma gasification energy production, and industrial processing. The proposed solution integrates the RIOS Core Compute Engine, a hybrid Trifi Wireless Connectivity Layer, and a dense NeoMesh IoT Intelligence Layer, all overseen by the DeReticular AI.
II. Project Scope & Technical Requirements (Based on MOU)
- Total Area: 7,000 Acres (approx. 11 square miles / ~3.5-mile diameter).
- Core Operations:
- Industrial Hemp Cultivation (Daily 30-acre planting/harvesting cycle).
- Plasma Gasification Plant (210 TPD, generating 10-11 MW).
- Hemp Processing Facilities (Fiber, Oil, Seeds).
- 100-Acre Nursery Bed.
- Technological Mandate: Integrate IoT and AI to optimize energy production, monitor efficiency, and enhance yield management (MOU Section 5.2).
- Security & Management: Requires centralized control and high-level data security for proprietary processes and financial data.
III. Proposed RIOS Architecture: The “Sovereign Industrial Campus” Model
Given the scale and industrial nature of the project, a standard municipal deployment model is insufficient. We propose a Centralized Compute/Hybrid Distribution architecture.
Layer 1: The Core Intelligence & Compute Hub (Centralized)
Instead of distributing the Revofi devices across the fields, they will be centralized in a secure, climate-controlled data center within the main industrial processing and plasma gasification complex. This ensures maximum physical security, direct access to the 10-11 MW power source, and ultra-low-latency connection to the primary processing controls.
- Component: 1 x RIOS-CC-1000 (RIOS Core Compute Engine)
- Configuration: 1,000 Revofi Link Pro devices rack-mounted in a high-density configuration, connected via 10GbE fiber switches to the DeReticulat AI central management servers.
- Function:
- Revenue Generation: Generates the global AI compute revenue to fund the network build-out.
- Local AI Operations: Processes real-time data from the Plasma Plant (for predictive maintenance/optimization) and the Agricultural IoT grid (for irrigation/harvest logic).
Layer 2: The Connectivity Backbone (Hybrid Trifi Wireless)
To cover the 7,000 acres efficiently, we will utilize a hybrid of fiber optic cable for the central industrial zone and a high-power Trifi Wireless mesh for the agricultural fields.
- Central Zone (Processing/Energy Plant): Fiber optic backbone connecting the RIOS-CC-1000 to all industrial control systems (SCADA), processing machinery, and administrative offices.
- Agricultural Zone (7,000 Acres): A custom configuration of Trifi Wireless hardware.
- Core Components: A deployment of high-power PtMP Wireless Backhaul Transceivers mounted on central towers (e.g., the plasma plant stack) to beam connectivity to distributed Trifi Far X Routers placed at strategic points (e.g., irrigation hubs, field storage) across the campus.
- Backhaul: Primary backhaul via multiple Starlink Business Kits load-balanced through enterprise SD-WAN, with localized cellular vSIM as a tertiary failover.
Layer 3: The Agricultural IoT Intelligence Layer (NeoMesh)
This is the nervous system of the farm, requiring thousands of low-power sensors to manage the daily 30-acre cycle and optimize the 7-ton/acre yield target.
- Technology: NeoMesh Protocol. Chosen for its ultra-low power consumption, allowing sensors to operate for years on small batteries, eliminating the cost of wiring 7,000 acres.
- Sensor Types:
- Soil Moisture/Nutrient Sensors: Deployed at a high density to optimize irrigation and biochar application.
- Micro-Climate Weather Stations: To predict pest risks and optimize planting schedules.
- Asset Trackers: On all harvesting and planting machinery to monitor efficiency and fuel usage.
- Architecture: NeoMesh Gateways will be co-located with the distributed Trifi Far X Routers, collecting data from thousands of field sensors and transmitting it back to the central DeReticulat AI for analysis.
IV. Estimated Hardware Bill of Materials (BOM) – Initial Phase
This BOM represents the estimated hardware required to establish the foundational RIOS for the 7,000-acre campus.
Component | Strategic Role | Estimated Quantity |
RIOS-CC-1000 | Core Compute Engine. (1,000 Revofi Units, Centralized). Includes AI Servers/Switches. | 1 Lot (Fixed SOW Price) |
Starlink Business Kits | High-speed, low-latency global backhaul for the central hub. | 5-10 Units (Load Balanced) |
Enterprise SD-WAN | Manages Starlink/Cellular failover and data routing. | 2 Units (Redundant pair) |
High-Power PtMP Base Stations | Transmits connectivity from central hub to fields. | 4-6 Sectors on central tower |
Trifi Far X Routers (CPE Mode) | Receives PtMP signal, provides local Wi-Fi/Ethernet at field hubs. | 50-100 Units (Distributed) |
NeoMesh Protocol Gateways | Co-located with Trifi Routers to collect sensor data. | 50-100 Units |
Agricultural IoT Sensors | Soil, weather, asset tracking (NeoMesh). | 5,000 – 10,000 Units |
Fiber Optic Cabling | Connects central industrial zone. | 1 Lot (Several Kilometers) |
Agra Dot Energy Microgrid Controllers | Integrates the 10-11MW Plasma output with the RIOS Compute Cluster. | Custom Integration |
V. Implementation Strategy & Next Steps
- Detailed Site Survey (Immediate): DeReticular technical team must conduct a physical or high-resolution satellite survey of the Kaabong site to determine topography, optimal tower placement for PtMP links, and Starlink visibility.
- Energy Integration Planning: Collaborate with plasma gasification engineers to design the power distribution system for the RIOS-CC-1000, ensuring clean, uninterruptible power from the 10-11 MW output.
- AI Model Pre-Training: Begin training the DeReticulat AI on hemp cultivation datasets and plasma gasification operational data to ensure predictive models are ready for deployment.
- Finalize Technical SOW: Based on the site survey, develop a final, priced Technical Statement of Work for the RIOS hardware and installation, to be incorporated into the overarching project budget.
This architecture provides AEU with a state-of-the-art, self-optimizing industrial campus that fulfills all technological mandates of the MOU while establishing a scalable blueprint for the future 10 campuses.