LIVE

🛰️ Satellite NDVI imagery updated for all mapped farms • 🌡️ Frost alert: temperatures dropping below 5°C in Plateau State • 🌾 AI model v3.2 released — now detects 42 crop diseases • 📡 247 IoT sensors reporting live across 5 regions • 🚁 Drone mapping missions completed: 1,200 hectares this week • 📊 Sensor data pipeline: 14,832 readings processed today • 🛰️ Satellite NDVI imagery updated for all mapped farms • 🌡️ Frost alert: temperatures dropping below 5°C in Plateau State • 🌾 AI model v3.2 released — now detects 42 crop diseases • 📡 247 IoT sensors reporting live across 5 regions • 🚁 Drone mapping missions completed: 1,200 hectares this week • 📊 Sensor data pipeline: 14,832 readings processed today

Precision Farming

Data-Driven Decisions\nfor Every Acre

Harness satellite imagery, soil sensors, and AI analytics to optimise yields and reduce waste — all from one dashboard.

Explore Platform Watch Demo

IoT Monitoring

Real-Time Sensor\nIntelligence

Deploy ESP32 soil moisture, temperature, and humidity sensors. Get alerts before problems become crop failures.

See IoT Features Watch Demo

AI Crop Analysis

Detect Disease\nBefore It Spreads

Snap a photo of any leaf — our AI model identifies diseases in seconds and recommends treatment instantly.

Try AI Scanner Watch Demo

Drone Mapping

Map Farms with\nCentimetre Accuracy

GPS-precise boundary mapping, NDVI vegetation indices, and automated area calculations — no tape measure needed.

View Mapping Watch Demo

Live Monitoring

Real-Time IoT Dashboard

Every sensor reading, every alert, every insight — streamed to your dashboard in real time.

Sensor Dashboard — Live

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62%

Soil Moisture

28°C

Temperature

68%

Humidity

247

Active Sensors

Soil Moisture — Last 24h

99.7%

Uptime

Smart Agriculture Platform

From Soil to Cloud —
One Intelligent System

5 min

Readings

IoT Sensor Network

Deploy ESP32-based soil moisture, NPK, temperature & humidity sensors. Data streams to your dashboard every 5 minutes.

97%

Accuracy

AI Disease Detection

Point your phone at a leaf — our TensorFlow Lite model identifies 38 crop diseases with 97% accuracy offline.

±2cm

Precision

GPS Farm Mapping

Walk the perimeter and our app maps boundaries, calculates area in hectares, and generates QR-coded farm IDs.

10k+

Hectares

Drone & Satellite Imagery

Integrate drone flyovers and satellite NDVI indices to monitor crop health across thousands of hectares.

7-day

Forecast

Weather Intelligence

Hyper-local 7-day forecasts, frost alerts, and rainfall predictions tied to your sensor locations.

100%

Offline

Offline-First Mobile

Full CRUD operations offline in remote fields. Auto-syncs when connectivity returns — never lose field data again.

How Smart Farming Works

Four Steps to Intelligent Agriculture

Step 01 — Plug & play IoT

Deploy Sensors

Place ESP32 sensor nodes across your farms. They auto-register via QR scan and start streaming soil moisture, temperature, and NPK data within minutes.

Step 02 — GPS + AI insights

Map & Analyse

GPS-map every field boundary, run AI crop scans from your phone, and view NDVI vegetation indices — all geo-tagged and time-stamped.

Step 03 — Real-time dashboards

Monitor & Alert

Watch live sensor feeds on your dashboard. Get SMS and push alerts when soil moisture drops, frost is forecast, or disease is detected.

Step 04 — Data-driven growth

Optimise & Scale

Use predictive analytics to optimise planting schedules, reduce input costs by up to 30%, and scale across regions with multi-tenant architecture.

Enterprise-Grade Technology Stack

ESP32

Sensor nodes

TensorFlow

AI inference

MQTT

Real-time protocol

PostgreSQL

Data warehouse

Redis

Caching layer

CodeIgniter

Backend framework

Leaflet

GIS mapping

Flutter

Mobile app

Trusted by Agricultural Leaders

Real Impact, Real Harvests

Soil moisture alerts saved 40% of our tomato crop during an unexpected dry spell. The ROI paid for the sensors in one season.

Dr. Adebayo Ogundimu

National Programme Director

The AI disease scanner identified early blight on our cassava 3 days before visible symptoms. We treated 200 farms in time.

Grace Mwangi

Field Operations Lead, Kenya

GPS mapping replaced weeks of manual measurement. We mapped 500 farms in 3 days with centimetre accuracy.

Pastor Emmanuel Okafor

Community Outreach Coordinator