AgavePredictor ML: Commercial AgTech Growth Prediction System
Félix Ruiz M.
Commercial Machine Learning application developed for Mexican agave company, predicting plant growth time with 82% accuracy (R² = 0.82). Features complete desktop interface built with PySide6 and advanced data engineering pipeline.
🔹 Commercial Client: Real project for Mexican agave industry 🔹 High Precision: R² = 0.823 with optimized RandomForest 🔹 Complete Solution: Desktop app with professional UI 🔹 Data Innovation: Web scraping + 8,000 synthetic observations 🔹 Interactive Visualization: Dynamic agave representation adapting to parameters
Technical Excellence:
Advanced feature engineering with outlier elimination
Systematic ML optimization for maximum accuracy
Responsive design with agave-inspired color palette
Real-time prediction animations and visual feedback
Production-ready deployment for agricultural operations
Business Impact: Enables agave farmers to optimize planting schedules, predict harvest timing, and improve crop management decisions.
Industry Value: Bridges traditional agriculture with modern AI, demonstrating practical AgTech applications in commercial farming operations.
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Posted Jul 28, 2025
Developed ML app for agave growth prediction with 82% accuracy.
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Timeline
Feb 3, 2024 - Jul 22, 2024
