Productivity management for palm oil production
- Build a data ingestion pipeline for easy aggregation and contextualization.
- Deploy ML models to automate the process of palm tree counting.
- Extract production KPIs in less than 2 hours with automated workflows.
- Improve scouting with an exhaustive overview for smart ground sampling.
- Detect warning signs of stress early on.
- Improve agronomic practices such as cover crops, refoliation, and off-type-identification.
Optimizing Production in Open-Pit Mines: Digital Models and Simulations Using Vision AI as a Data Source