Project objective
This project explores how weather variability, district-level yield behavior, soil proxies, and geospatial context can be brought into one explainable screening workflow.
Architecture and implementation
The implementation is notebook-led but organized around reusable pipeline stages:
- ingestion and normalization of weather, yield, and environmental datasets
- feature engineering and scoring-oriented transformations
- rerunnable tables and map layers for regional risk interpretation
Validation and quality controls
Quality checks focus on consistency and explainability:
- explicit assumptions tracked in project docs
- deterministic transformations for repeatable results
- output-level sanity checks for reporting and map layers
Current impact
The project gives siting and environmental-risk conversations a concrete evidence base while keeping the analytical path transparent for review.
Next steps
Next work is focused on benchmark comparisons, stronger validation automation, and cleaner packaging for portfolio and publication use.