Hurudza is an integrated smart farming platform combining a cross-platform mobile & web app with custom IoT devices — digitizing and optimizing agriculture through AI, cloud, and real-time data.
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North Africa
Regional 1st
HDC
Huawei Global
Finals 2024
IoT
Custom ESP32
Prototype
Octadot is an innovative AgriTech company based in Oran, Algeria. Our flagship project Hurudza is a cross-platform smart farming solution that integrates IoT hardware, artificial intelligence, and cloud computing to help farmers make data-driven decisions — from soil analysis to marketplace access.
The name "Hurudza" means "to farm" in Shona, reflecting our mission to serve agricultural communities across Africa and beyond.
The Problem We Solve
Inefficient Farm Monitoring
Farmers lack real-time, actionable data on soil, weather, and crops — leading to reactive responses and lower yields.
Fragmented Supply Chain
Difficulty accessing markets, limited financial tools, and lack of tailored guidance hinder profitability.
Resource Waste & Climate Risk
Inefficient water usage, weather dependency, and soil degradation threaten food security across Africa.
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Impact Areas
Sub-Saharan Africa · South Asia · Emerging economies
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Our Mission
Empower smallholder farmers with data-driven insights
How It Works
IoT Sensors
Data Collection
Network
Wireless Transmission
Huawei Cloud
Storage & Processing
AI Insights
Recommendations
App Interface
Mobile & Web
An integrated ecosystem of IoT hardware, AI models, and intuitive dashboards that transform raw field data into actionable intelligence.
Live sensor readings for soil moisture, pH, NPK levels, temperature, humidity, air quality, water level, and rainfall — updated every 30 seconds.
Four ML models: Crop Recommendation (Gaussian Naïve Bayes), Irrigation Scheduling (Decision Tree), Plant Disease Detection (ResNet), and Fertilizer Optimization.
Elastic Cloud Server (ECS), Object Storage (OBS), Relational Database (RDS/MySQL), Redis caching, ModelArts for AI training, and CodeArts for CI/CD pipelines.
Cross-platform app for iOS & Android. Features weather display, crop recommendations, plant disease detection by photo, irrigation advice, and fertilizer control.
An integrated marketplace for farmers to buy and sell produce, seeds, and equipment — connecting rural communities to buyers and cooperatives directly.
Subscription-based access for farmers with tiered pricing. Marketplace transaction fees, NGO/government partnerships, and agricultural data sales generate continuous revenue.
Sample IoT Readings — Live Sensor Data
| Parameter | Value | Parameter | Value |
|---|---|---|---|
| Nitrogen (N) | 195.3 mg/kg | Soil Temperature | 25.9 °C |
| Phosphorus (P) | 49.5 mg/kg | Env. Temperature | 18.9 °C |
| Potassium (K) | 24.0 mg/kg | Humidity | 68.9 % |
| Soil pH | 6.99 | Water Level | 64.3 cm |
| Moisture | 36.1 % | Air Quality | 453.6 ppm |
| Pressure | 1039.8 hPa | Light | 72,040 lux |
Data transmitted to Huawei Cloud every 30 seconds via ESP32 WiFi module
The Hurudza IoT device is a fully custom-built unit using an ESP32 microcontroller and a suite of environmental and soil sensors. It started as a breadboard prototype and evolved into a 3D-printed enclosure with a custom-designed PCB.
Soil Sensors (NPK)
RS485 NPK sensor via transceiver for Nitrogen, Phosphorus, and Potassium readings with MQ135 air quality sensor
Environmental Sensors
BME280 for temperature, humidity & pressure · Water level sensor · Rainfall sensor · LDR light sensor · GPS NEO-6M
LCD Display + Custom PCB
On-device LCD display for local readings · Custom PCB designed in KiCad · 3D-printed enclosure with solar power support
Circuit schematic — ESP32 + sensors + RS485 + LCD (5V DC)
PCB schematic (KiCad) · 3D renders — top & bottom layers
Prototype Evolution
v1 — Breadboard Prototype
All sensors wired on breadboard, initial firmware & data transmission test
v2 — 3D-Printed Enclosure
Custom black housing with LCD cutout, cleaner wiring, field-deployable form
v3 — Custom PCB (KiCad)
Full PCB design with ESP32, GPS, BME280, RS485, SME connectors, LDR integration
The Octadot team's journey through the Huawei Developer Competition 2024 — from the regional pitch to the Global Awards Ceremony at HDC.2025 in Shenzhen.
Step 1
Octadot (Team 6) presented Hurudza at the HDC Algeria 2024 regional selection — competing against the best Algerian tech teams.
Step 2
Competed against top teams from Algeria, Egypt, Morocco, and Ethiopia. Octadot claimed First Prize — the highest award.
Step 3
Officially recognized and awarded by Huawei at the national ceremony — receiving prizes and certificates from Huawei leadership.
Step 4
Invited to Shenzhen, China for the Huawei Developer Competition 2024 Global Awards Ceremony — representing North Africa on the world stage.
Official Regional Results — North Africa Final
| Country | Team | Award |
|---|---|---|
| 🇩🇿 Algeria | Octadot Team ★ | 🥇 First Prize |
| 🇪🇬 Egypt | Manetho | Second Prize |
| 🇪🇬 Egypt | Cloudy | Second Prize |
| 🇲🇦 Morocco | TechLeads | Third Prize |
| 🇪🇬 Egypt | GS Team | Third Prize |
| 🇪🇹 Ethiopia | Innovate Fusion | Third Prize |
Competition Gallery
HDC Algeria 2024 — Octadot Team
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Pitch Day — Presenting Hurudza at Huawei HQ
🏆 First Prize — North Africa Regional Ceremony
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National Awards Ceremony — Huawei leadership
HDC National Competition stage
HDC 2024 Global Awards Ceremony — Shenzhen, China
🌏 HDC.2025 — Huawei Developer Conference, China
Hurudza represented North Africa at the Global Finals in Shenzhen
Watch the IoT prototype collecting real soil data and the full platform dashboard in action.
Watch the ESP32-based Hurudza device reading NPK, pH, soil humidity, temperature, and environmental data — transmitted live to the cloud dashboard.
Explore the Hurudza web dashboard with real-time charts, sensor analytics, AI-driven crop recommendations, and plant disease detection.
🎬 Competition Experience
The Octadot team's full journey through the Huawei Developer Competition — pitches, ceremony, and the trip to China for HDC.2025
Crop Recommendation
Gaussian Naïve Bayes
Recommends optimal crops based on NPK, pH, rainfall, temperature & humidity
Irrigation Scheduling
Decision Tree Classifier
Determines optimal irrigation ON/OFF decisions with 99.3% accuracy on test data
Plant Disease Detection
ResNet (Deep Learning)
Image classification trained on the New Plant Diseases Dataset — 60 epochs, ~85% validation accuracy
Fertilizer Optimization
Random Forest Classifier
Recommends fertilizer type and quantities based on soil composition and crop type
Huawei Cloud Services Used
ECS + VPC
Elastic Cloud Server · Virtual Private Cloud
RDS / MySQL
Relational Database — hurudza-db (AF-Cairo)
OBS
Object Storage — sensor logs, images, ML datasets
ModelArts
AI model training & deployment (GPU: Ant03 · 24 vCPU)
CodeArts
CI/CD pipelines · Automated build, test & deploy
Redis (DCS)
Distributed cache layer for fast data access
Subscription Revenue Model
Farmers subscribe for tiered access to real-time data, AI insights, and marketplace — generating recurring revenue at scale.
NGO & Government Partnerships
Subsidy programs with agricultural ministries and NGOs focused on food security across Africa make adoption accessible.
Agricultural Data Sales
Anonymized soil and meteorological datasets sold to research institutions, seed companies, and policy makers.
Market Expansion
Targeting Sub-Saharan Africa, South Asia, and other emerging agricultural economies facing climate change and resource scarcity.
40%
Potential resource waste reduction
99%
Irrigation model accuracy
30s
Sensor data update interval
5+
Huawei Cloud services integrated
🤝 Investment Opportunity
Octadot is seeking strategic investment and partnerships to accelerate the development and deployment of the Hurudza system. Funds will be directed toward IoT hardware production, AI model refinement, market penetration in Africa, and platform scaling.
Get in Touch →The Hurudza prototype includes: NPK soil sensor (via RS485 transceiver), MQ135 air quality sensor, Water-5 moisture sensor, BME280 (temperature, humidity, pressure), GPS NEO-6M module, LDR light sensor, rainfall sensor, and an I²C LCD display — all controlled by an ESP32 microcontroller running at 5V DC.
Hurudza leverages: Elastic Cloud Server (ECS) for the Flask backend hosted at 101.46.71.38, Virtual Private Cloud (VPC) for network security, Object Storage (OBS) for datasets and images, Relational Database Service (RDS/MySQL) for structured data, ModelArts for AI training and deployment, CodeArts for CI/CD pipelines, and Redis (DCS) as a distributed cache layer.
The Decision Tree irrigation classifier achieves ~99.3% accuracy (OFF: 9302/9305, ON: 10694/10695 correctly classified). The Gaussian Naïve Bayes crop recommendation model achieves near-perfect accuracy across 22 crop classes. The ResNet plant disease detection model reaches ~85% validation accuracy after 60 training epochs on the New Plant Diseases Dataset.
Yes. Octadot is actively seeking strategic investors, NGO partners, government agricultural bodies, and distribution channels. We offer tailored pilot programs for agricultural cooperatives and are open to licensing discussions. Reach us at contact@octadot.net to start the conversation.
Octadot's team (BouKhiar Naima) won First Prize at the 2024 Huawei Developer Competition North Africa Regional Final, beating teams from Algeria, Egypt, Morocco, and Ethiopia. They then represented North Africa at the Global Awards Ceremony at HDC.2025 in Shenzhen, China.
The two-person team from Oran, Algeria who built Hurudza from a breadboard prototype to a world-stage finalist.
BouKhiar Naima
Founder / CTO · Octadot
IoT Hardware & Software — designed the ESP32 prototype and custom PCB
Tlemcani Farah
Led the Huawei Cloud integration and AI model training on ModelArts
Award at HDC.2025 — China
Both team members attended the Huawei Developer Conference 2025 in Shenzhen as global finalists, representing Algeria and North Africa on the world stage.
Whether you're an investor, agricultural organization, government body, or a farmer — we'd love to hear from you.
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Investors
Strategic investment to scale IoT production and platform globally
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Partners & NGOs
Collaborate to deploy Hurudza in agricultural communities across Africa
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Farmers
Join the pilot program and get early access to the Hurudza platform