SmartGwiza
Farmer inspecting crops in a wheat field at sunset

Predict Maize Yield with AI

Empowering Rwandan farmers with data-driven insights for sustainable maize production

How It Works

Our AI model predicts maize yield for Rwandan farmers using year, pesticide use, and temperature data.

Input Your Data

Enter the year, pesticide usage, and average temperature for your maize farm in Rwanda.

AI Analysis

Our PyTorch model analyzes your inputs against historical Rwanda maize data.

Get Predictions

Receive maize yield predictions in tons/ha and a category (Low, Medium, High).

Visualization Dashboard

Visualize maize yield trends and model performance to optimize farming decisions in Rwanda.

Crop Yield Analysis

Compare actual and predicted yields for your crops

Confusion Matrix from Random Forest Model

Confusion Matrix

Shows the accuracy of predictions across different yield categories

Feature Importance Chart

Feature Importance

Highlights which factors most influence maize yield predictions

Correlation Heat Map

Correlation Heat Map

Visualizes relationships between different agricultural variables

Click on any visualization to view it in full size.