🔧 Our Technology

Built on
World-Class Infrastructure

We combine industry-leading AI frameworks, cloud infrastructure, and open data sources to deliver enterprise-grade reliability and accuracy — from the smallest farm to the largest agribusiness portfolio.

Technology Stack

The Tools Powering AgriNova

Every layer of our stack is chosen for performance, reliability, and scalability in low-resource African environments.

🧠 AI & Machine Learning

The intelligence core powering our disease detection, yield forecasting, and agronomic recommendation engine.

Python PyTorch TensorFlow Scikit-learn OpenCV Hugging Face

☁️ Cloud & Infrastructure

Scalable, resilient infrastructure designed to handle millions of sensor data points and satellite passes daily.

AWS SageMaker Docker Kubernetes Terraform Redis Grafana

📡 IoT & Sensors

Low-power sensor networks built for African farms — reliable, affordable, and deployable in off-grid environments.

LoRaWAN MQTT Arduino Raspberry Pi Zigbee

🛰️ Remote Sensing & GIS

Satellite and geospatial data pipelines delivering crop health maps and land analytics at continental scale.

Sentinel-2 (ESA) Google Earth Engine GDAL PostGIS Mapbox

🗄️ Data & Backend

High-throughput data pipelines and APIs that process, store, and serve real-time farm intelligence to every client.

FastAPI PostgreSQL Apache Kafka TimescaleDB Elasticsearch

📱 Frontend & Mobile

Cross-platform mobile and web apps built for performance in bandwidth-constrained environments.

React Native React.js TypeScript PWA Tailwind CSS
System Architecture

How Data Flows Through AgriNova

Our platform is built as a continuous intelligence pipeline — from raw sensor readings to actionable farm decisions.

📡

Data Collection

IoT sensors, satellite passes, mobile uploads, and weather APIs stream data continuously into our ingestion layer.

🧠

AI Processing

ML models run inference on incoming data: disease classification, anomaly detection, yield regression, and weather fusion.

📲

Smart Delivery

Results are pushed to farmers via the mobile app, to investors via the web dashboard, and to partners via our API.

Engineering Principles

How We Build

Every technical decision at AgriNova is guided by a set of non-negotiable engineering principles.

01

Africa-First Performance

Every feature is optimised for low-bandwidth, low-power, and low-cost hardware. We never build for Silicon Valley and adapt for Africa — we build for Africa first.

02

Explainable AI

Our models are required to explain their recommendations. Farmers and investors must understand why the AI is saying what it's saying — not just receive a number.

03

Data Sovereignty

Farm data belongs to the farmer. We never sell, aggregate, or monetise individual farm data without explicit consent. Data residency stays within Nigeria where required.

04

Continuous Learning

Our models are retrained with every new growing season, incorporating local crop varieties, regional climate patterns, and evolving pest strains specific to West Africa.

Interested in Our API?

AgriNova's RESTful API is available for enterprise integrations. Talk to our team to get access.

Get API Access