AI for Smarter Farming in Africa

Offline AI based precision agriculture for real farm conditions

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Open Source Dataset

AgriAI Seg: Pixel-Level Plant Image Segmentation Dataset (Tomato, Cabbage, Sesame)(Tomato, Cabbage, Sesame)

📊 Download on Kaggle

Research Paper

Sesame Plant Segmentation Dataset: YOLO-formatted from Nigerian farms

Read on arXiv
Farm Problem

What is AGRIAI?

AI precision agriculture for African farms

Offline AI System – No internet needed
Crop/Weed Detection – 99% accuracy
Targeted Treatment – 80% less chemicals
Local African Data – Built for real farms
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Key Capabilities

Built for African farms

Offline AI

Works without internet perfect for rural farms

Crop Detection

99% accurate weed vs crop identification

Targeted Treatment

80% less chemical usage

African Data

Trained on real African farm conditions

Prototype in Action

Watch AGRIAI's complete workflow: Track → Detect → Treat

1. Track

Autonomous farm navigation

2. Detect

AI identifies crops/weeds

3. Treat

Precision chemical application

Cabbage Field Navigation

Real time tracking in African farm conditions – no GPS, no internet

Explore Technical Solution

Why AGRIAI Solution

Built for African Farms

Optimized for local crops, soil conditions, and African farming realities.

Works Without Internet

Fully offline operation for remote farms no connectivity required.

Reduces Waste, Increases Efficiency

Precision treatment cuts chemical use 30%+, boosts yields significantly.