About the Client
FarmTech Africa provides precision agriculture technology to commercial farms in East Africa, helping them optimize yields and reduce water usage.
The Challenge
Farms generated terabytes of sensor data monthly but had no way to process, analyze, or act on it. Decisions were still made on intuition rather than data.
The Solution
We built a real-time data pipeline that ingests IoT sensor data, runs predictive models for crop health and irrigation, and delivers actionable insights via mobile dashboards.
Key Features
IoT Data Pipeline
Real-time ingestion from 5,000+ soil, weather, and crop sensors
Sub-minute data freshness
Crop Health Prediction
ML models predicting disease and pest risks 2 weeks in advance
25% reduction in crop loss
Smart Irrigation
AI-optimized watering schedules based on soil moisture and weather
30% less water usage
Mobile Dashboards
Farm managers access insights on their phones in the field
Real-time decision making
The Results
25% less crop loss. 30% water savings. Processing 5,000+ sensors in real-time.
25%
Less crop loss
30%
Water savings
5K+
Sensors connected
10K ha
Farmland covered
Our Process
Discovery
2 weeksSensor audit, data mapping, agronomist interviews
Pipeline
4 weeksData ingestion, transformation, storage architecture
Models
5 weeksML model training, validation, deployment
Dashboards
3 weeksMobile app, alerts, reporting, farmer training
"CiroStack turned our raw sensor data into a competitive advantage. The crop prediction model saved our entire maize harvest last season."
Joseph Karanja
CEO, FarmTech Africa
What the Client Loved
- The crop disease prediction saved an entire harvest season
- Farm managers love the mobile dashboards
- Water savings alone justified the investment
Challenges We Overcame
- Unreliable connectivity in rural areas — edge processing with batch sync
- Diverse sensor types and protocols — universal IoT adapter layer
Technology Stack
Data
AI/ML
Database
Mobile
