Predict, Prevent, and Optimize
Machine learning models trained with local data that predict yields, detect risks, and recommend specific actions.
The problem
Weather uncertainty, soil variability, and pest pressure make each cycle a gamble. Without systematically analyzed historical data, it's impossible to anticipate problems.
Our solution
We develop AI models that combine your farm's historical data with weather, satellite, and agronomic information. The system learns from each cycle and improves its predictions, delivering actionable recommendations.
How it works
Collection and cleaning of your farm's historical data
Training models specific to your crop and region
Predictions dashboard: yield, pests, weather
Weekly recommendations sent via WhatsApp or email
Continuous model adjustment with data from each new harvest