🌱 Raheeq (رحيق)

# 🌱 Raheeq (رحيق) > [TOC] ## 🎯 Vision Raheeq is a **hybrid hardware-software platform** that provides continuous, underground soil monitoring combined with satellite-based land analysis—purpose-built for the challenging conditions of arid and saline environments in the GCC region. Unlike traditional one-off soil testing, Raheeq delivers **persistent ground truth** from beneath the surface, enabling informed decisions about irrigation, crop health, and land use. --- ## 🚨 The Problem ```markmap # Challenges in GCC Agriculture ## Invisible Soil Degradation - Salinity buildup underground - Compaction issues undetected - No early warning system ## Water Scarcity - Expensive desalinated water - Inefficient irrigation - No real-time optimization ## Limited Monitoring - Infrequent soil testing - Static snapshots only - Misses gradual changes ## Satellite Limitations - No underground visibility - Can't detect root-zone issues - Lacks ground truth correlation ``` **The Result:** Wasted water on degraded soil, reduced yields, poor land-use planning. --- ## 💡 The Raheeq Solution ### Three-Layer Intelligence System ```mermaid graph TB A[Underground Sensors] --> D[Data Fusion Engine] B[Satellite Imagery] --> D C[AI Analytics] --> D D --> E[Actionable Insights] A1[Resistivity] --> A A2[Moisture] --> A A3[Temperature] --> A B1[NDVI] --> B B2[Stress Patterns] --> B B3[Elevation] --> B C1[Anomaly Detection] --> C C2[Soil Zoning] --> C C3[Predictive Alerts] --> C E --> F[Desktop Platform] E --> G[Reports & Maps] E --> H[Alerts] style D fill:#2ecc71,stroke:#27ae60,stroke-width:3px style E fill:#3498db,stroke:#2980b9,stroke-width:2px ``` --- ## 🏗️ System Architecture ```mermaid flowchart TD subgraph Field["🌾 Field Layer"] P1[Probe 1 ESP32-S3] P2[Probe 2 ESP32-S3] P3[Probe N ESP32-S3] end subgraph Edge["⚡ Edge Layer"] H[Cluster Hub PoE SBC 5-20 probes] end subgraph Local["💻 Local Layer"] D[Desktop App React Native Offline-First] end subgraph Cloud["☁️ Cloud Layer (Optional)"] S[Remote Server Multi-site Aggregation] end P1 -.LoRa.-> H P2 -.LoRa.-> H P3 -.LoRa.-> H H --Ethernet/LTE--> D D -.Optional.-> S style Field fill:#e8f5e9,stroke:#4caf50 style Edge fill:#fff3e0,stroke:#ff9800 style Local fill:#e3f2fd,stroke:#2196f3 style Cloud fill:#f3e5f5,stroke:#9c27b0 ``` --- ## 🔧 Hardware Components ### In-Ground Probes | Specification | Details | |---------------|---------| | **Form Factor** | 40–60 cm length, 3–4 cm diameter | | **Construction** | PVC/fiberglass body, IP67 sealed | | **Controller** | ESP32-S3 | | **Radio** | Sub-GHz (LoRa) | | **Power** | Battery-powered (replaceable) | | **Sensing Depth** | 0–40 cm (direct), up to 1.2m (AI-inferred) | **Sensor Capabilities:** - ⚡ Electrical resistivity/conductivity - 💧 Volumetric soil moisture - 🌡️ Soil temperature - 📈 Time-series trend tracking **Probe Variants:** - **Standard:** General-purpose monitoring - **Salinity-optimized:** Enhanced EC sensitivity --- ### Cluster Hub ```graphviz digraph hub { rankdir=LR; node [shape=box, style=rounded]; Hub [label="Cluster Hub\n(PoE SBC)", shape=box3d, fillcolor=lightblue, style=filled]; Radio [label="Sub-GHz\nConcentrator"]; Storage [label="Local\nStorage"]; Network [label="Ethernet\n+ LTE"]; Probe1 [label="Probe 1"]; Probe2 [label="Probe 2"]; ProbeN [label="Probe N"]; Desktop [label="Desktop App"]; Probe1 -> Radio; Probe2 -> Radio; ProbeN -> Radio; Radio -> Hub; Hub -> Storage; Hub -> Network; Network -> Desktop; } ``` **Specifications:** - **Capacity:** Manages 5–20 probes - **Power:** PoE (Power over Ethernet) - **Storage:** Local SSD/eMMC - **Connectivity:** Ethernet + optional LTE --- ## 💻 Software Platform ### Desktop Application (Primary Interface) **Platform:** React Native (Windows/macOS) **Key Features:** - 📊 Real-time & historical visualization - 🗺️ Automated soil zoning with heatmaps - 🛰️ Satellite NDVI overlay - 📁 Multi-project management - 📄 Professional reporting (PDF/CSV) - 🔒 **Offline-first by design** **Deployment Modes:** ```mermaid graph LR A[Desktop App] --> B[Local-Only Mode] A --> C[Hybrid Mode] A --> D[Enterprise Mode] B --> B1[Fully Offline] B --> B2[Single Site] C --> C1[Local + Cloud Sync] C --> C2[Optional Remote] D --> D1[On-Premise] D --> D2[Multi-User] D --> D3[Compliance] style B fill:#4caf50 style C fill:#2196f3 style D fill:#ff9800 ``` --- ### Companion Mobile App :::info **Limited by Design** – Mobile handles only: - 🚨 Emergency alerts - 📱 Quick status checks - ⚙️ Basic field controls **Heavy analysis remains desktop-only.** ::: --- ## 🤖 AI Capabilities ### Automation with Human Control ```mermaid mindmap root((AI Engine)) Anomaly Detection Salinity Spikes Irrigation Failures Sensor Drift Soil Zoning Green Zones Yellow Zones Red Zones Auto-Classification Correlation NDVI ↔ Soil Data Surface ↔ Root Zone Hidden Issues Predictions Early Warnings Crop Stress Context-Aware Alerts ``` :::warning **AI Philosophy:** Assists decision-making but never overrides user control. All automation is transparent and adjustable. ::: --- ## 📊 Data Intelligence ### Measured Data ```mermaid graph LR subgraph Underground U1[Resistivity] U2[Moisture] U3[Temperature] U4[Trends] end subgraph Satellite S1[NDVI] S2[Stress Patterns] S3[Elevation] end subgraph Derived D1[Salinity Risk] D2[Root Health] D3[Water Efficiency] D4[Zone Recommendations] end U1 --> D1 U2 --> D2 U3 --> D2 S1 --> D1 S2 --> D2 S3 --> D3 style Underground fill:#8d6e63 style Satellite fill:#4fc3f7 style Derived fill:#66bb6a ``` --- ## 🗺️ Technical Roadmap ```mermaid gantt title Raheeq Development Timeline dateFormat YYYY-MM-DD section Phase 1: MVP Probe Prototypes :p1, 2025-03-01, 60d Hub Prototype :p2, 2025-03-15, 45d Desktop App (Local-Only) :p3, 2025-03-01, 90d Basic AI & Visualization :p4, after p3, 30d section Phase 2: Enhancement Satellite Integration :e1, 2025-06-01, 45d Advanced AI Models :e2, 2025-06-15, 60d Mobile Companion App :e3, 2025-07-01, 30d section Phase 3: Scale Production Hardware :s1, 2025-08-01, 90d Enterprise Features :s2, 2025-09-01, 60d Multi-Site Management :s3, 2025-10-01, 45d ``` ### MVP Scope #### ✅ Included - [x] Probe prototypes (2 units) - [x] Hub prototype (single unit) - [x] Desktop app (local-only mode) - [x] Live & historical visualization - [x] Basic AI automation - [x] Satellite NDVI overlay #### ⏳ Post-MVP - [ ] Large-scale deployments - [ ] Full mobile analytics - [ ] Advanced ML forecasting - [ ] Irrigation system integration --- ## 🎯 Target Markets ```mermaid graph TB M[Raheeq Platform] M --> B2B[B2B Customers] M --> B2G[B2G Customers] B2B --> B1[Commercial Farms] B2B --> B2[Greenhouses] B2B --> B3[Agri-Consultants] B2B --> B4[Land Developers] B2G --> G1[Agriculture Authorities] B2G --> G2[Food Security Programs] B2G --> G3[Municipal Planning] B2G --> G4[Research Institutions] style M fill:#673ab7,color:#fff style B2B fill:#2196f3,color:#fff style B2G fill:#ff9800,color:#fff ``` --- ## 🚀 Strategic Advantages :::success ### Core Differentiators | Advantage | Impact | |-----------|--------| | **Hardware + Data Moat** | Defensible customer relationships | | **Continuous Monitoring** | Rare in GCC region | | **Offline-First** | Addresses infrastructure reality | | **Dual-Use Platform** | B2B + B2G without fragmentation | | **Expandable Foundation** | Natural evolution into policy/datasets | ::: --- ## 🔮 Future Expansion ```markmap # Future Development ## Hardware - Advanced probe types (pH, nutrients) - Vehicle-mounted scanning - Automated irrigation integration ## Software - Regional soil datasets - Predictive analytics platform - Third-party API ecosystem ## Markets - Water policy integration - Land valuation services - Climate adaptation programs ``` --- ## 📌 Core Principles > **Raheeq is infrastructure, not a gadget.** It's the foundational layer for sustainable agriculture in arid environments—measuring what matters, underground and over time, where satellite imagery alone cannot reach.