Erick Mwangi
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AgriTech2024 — Present

KilimoIQ

AI Agritech Platform & Market Intelligence System for East African Farmers

Role & Responsibility:Co-Founder, CTO & Lead Systems Architect
Primary Metrics:5,000+ Active Farmers • 94.2% Disease Prediction Precision • Sub-2s Low-Bandwidth Inference
KilimoIQ

Problem Context & Objectives

Smallholder and commercial farmers across East Africa face severe crop yield degradation due to unidentified pests, unpredictable weather patterns, and opaque regional market pricing. KilimoIQ bridges this gap with offline-capable mobile computer vision models and real-time market data pipelines.

Architectural Highlights & Systems Engineering

  • Pattern 1

    Edge-optimized Mobile Vision: Deployed lightweight MobileNetV3 disease diagnosis models running locally on low-cost Android devices for zero-latency offline field scans.

  • Pattern 2

    Data Aggregation Engine: Real-time ingestion pipelines mapping prices across regional KAMIS (Kenya Agricultural Market Information System) data nodes.

  • Pattern 3

    Multi-Dialect NLP Interface: Swahili and English localized voice/text assistant explaining disease remediation steps in plain agricultural terms.

Technology Stack

PythonTensorFlowFastAPINext.jsReact NativePostgreSQLPostGISTailwind CSS

Compliance Standards

  • East Africa Agricultural Data Protection Protocol
  • ISO 27001 Security Standard
Interactive Architectural Schema

KilimoIQ Pipeline Blueprint

Click nodes to inspect implementation payload

Edge Mobile Vision

MobileNetV3 INT8 Model
78ms On-Device Latency

Lightweight MobileNetV3 disease diagnosis running zero-latency inference directly on low-cost Android devices in zero-connectivity fields.

TensorFlow LiteAndroid NDKKotlin
Payload / Schema Inspection:
{
  "model": "MobileNetV3-Small-INT8",
  "quantization": "TFLite-INT8",
  "input_shape": [1, 224, 224, 3],
  "inference_latency_ms": 78,
  "confidence_score": 0.964,
  "disease": "Maize Lethal Necrosis (MLN)"
}

Measurable Outcomes & Impact

  • Outcome #1Recognized as Best Agri-Tech Innovation at WRICC 2026.
  • Outcome #2Awarded Top Project Overall at Kisii University Innovation Week 2026.
  • Outcome #3Empowered over 5,000 farmers across Gusii region with proactive crop health alerts.
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