Facilitator: @Rohan
Documenter: @chrowe
Participants: 15ish (can’t remember everyone)
Aggregating data
- FarmOS + Cool Farm tool integration
Use-cases
Multi-system producer
- Land use…
- Grazing land
- Forested land
- Diversified veggies
- Fertility data lightly advised by an agronomist
- Want to add data to ecosystem services market
Barriers
- Difficult to organize
- Data collection cost offset by selling data
- Data standardization
- Tokenization of data anchored on chain but not stored on chain
- Privacy
- Developing world - praying on land rights
- How to decide what metadata to keep
- Methodology
- What data is required for a specific credit class
Solutions
- Identify “similar enough” variables
- LOI vs. RI combustion carbon measurement
- Translation service
- Service to customize the translation
- FarmOS
- Commercial imperative will force a standard
- Get involved in standards organizations
- Get a group of labs that are in alignmet
Beef for McDonalds in Australia
- FarmOS
- Data standard group within GOAT/OpenTeam
Global Geospatial datasets
- Polygons
Discussion
- FarmOS Aggrigator Technical overview
Themes
- Data formats
- Method: Email/API
- Data synchronization
- You can’t aggregate data that is not standardized
- There are to many standards
- We need a translator between standards
- We should define standards translation in code
Outcomes
- There are too many standards, we will never agree on a single standard and we don’t want to create a new standard.
- We want to create a translator between standards
- Hackathon on Thursday!