Data-driven optimization in urban farming
Short description
- ML2Grow is a trusted subcontractor of both Urban Crop Solutions and Magics
- We are developing a data-efficient framework for growth condition optimization
Added value
- Little is known about how to optimize indoor yield conditions
- Data-efficient machine learning reduces the number of trial experiments needed
Work performed
- Setting up data gathering platform at Urban Crop Solutions with multiple sensors
- Building a machine learning service that steers experiments