From Globalisation to Localisation
By 2050 we will be 9bn people on the planet, of which 70% of people will live in cities or urban areas. In order to feed all of these people, we need about 100% more food then than we do today. Current ways of food production and transportation are resource intensive and inefficient. We are building the tools for more efficient ways of local food production.
What it does
- user feeds location using what3words into the app.
- application searches datasets and provides location based environmental data such as solar exposure, temperature, rainfall and air quality.
- it provides a score to tell the user whether the roof in question could be used to grow food
- if so, it tells what are the best crops to grow, and expected crop yields etc...
How we built it
- project managed in Trello
- topographical map from OpenLayers
- live meteorological data sourced from the OpenWeather API openweathermap.org/api
- function suggests best plant for area based on optimum conditions data specific to plant taxonomy (to be improved)
- coordinates synced with what3words api
How it works
As a user you feed into the app where you are, using what3words. The application searches datasets which establish whether the location has the right conditions in terms of solar exposure, temperature, rainfall, and low levels of traffic pollution. Based on the results it tells the user whether the roof in question could be used to grow food, what are the best crops, and expected crop yields.
Challenges we ran into
- using ESRI caused the computer to stall temporarily so had to use OpenLayers due to time restrictions
- editing the Devpost page was restricted to 1 user making editing a bottleneck
Accomplishments that we're proud of
We worked well as a team. Communication remained very open and considerate throughout the process.
What we learned
Many of us were working on our first hackathon. Combining multi-disciplinary approaches brought a natural rhythm to the process. Incorporating external data sources, api's, environmental and GIS data was a fascinating project for the team.
What's next for HomeGrown
In the future we will create a matchmaking service between suitable roof owners and interested growers. It would be used at a community level to bring together people who maybe want to learn new skills, have free time to be growers (unemployed, retired),
We will integrate a building dataset that automatically identifies suitable roofs, and their owners. This will enable the owners to be informed of the opportunity they are sitting on, and to put them in touch with the growing movement of urban growers who can help them exploit the potential.