---
# System prepended metadata

title: "\U0001F331 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<br/>ESP32-S3]
        P2[Probe 2<br/>ESP32-S3]
        P3[Probe N<br/>ESP32-S3]
    end
    
    subgraph Edge["⚡ Edge Layer"]
        H[Cluster Hub<br/>PoE SBC<br/>5-20 probes]
    end
    
    subgraph Local["💻 Local Layer"]
        D[Desktop App<br/>React Native<br/>Offline-First]
    end
    
    subgraph Cloud["☁️ Cloud Layer (Optional)"]
        S[Remote Server<br/>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.
