🚀 Innovation
Machine Learning features, experimental work, and cutting-edge technologies
Machine Learning Projects
🛰️ 🌳
Accuracy
80%
MVP - Cacao Classification - Precision Agroforestry
Computer vision platform for monitoring cacao forests in a cabruca system
Model
Dual-head architecture combining Mask R-CNN and DeepLabV3+
Features
- •Instance segmentation for detecting individual trees
- •Semantic segmentation for land cover classification
- •Additional heads for crown diameter estimation and canopy density calculation
- •Optional SAM integration for mask refinement
Impact
Improve forest health by recognizing cacao trees affected by Witches' brooms disease and other health metrics
PythonKerasOpenCVDockerPlanet-SkySatWorldView
Innovation Areas
Performance Optimization
- →Micro-frontend architecture
- →Service worker caching strategies
- →Code splitting and lazy loading
- →Database query optimization
Developer Experience
- →Custom CLI tools for automation
- →GitHub Actions for CI/CD
- →Automated testing frameworks - Cypress IO
- →Documentation generation