The realization that plants were able to grow solely in nutritious water only astonished me. Since that day I have been thinking how to create a fully functioning concept of implementing hydroponics on a grand scale with crowd knowledge and AI.
What it does
It shows the location of interested entrepreneurs or hobbyists willing to start collaborative businesses/research on hydroponics. Not only earning money but also securing a self sustainability and gaining knowledge about growing plants in the most effective way possible.
I sorted the relevant data to find suitable areas to place automated hydroponic freight containers. Furthermore finding the tools to implement the crowd aspect of the project.
How I built it
The data is sorted but not implemented in the platform (it was too time consuming within the time-limit).
Gis has built in webapps deploy-ready for all I need and it's really simple, but time consuming to add the needed datasets from SGU, SMHI, MSB, Havsmyndigheten, LMV, SLU and Jordbruksverket.
These are the datasets used: **Sveriges kraftverk - (Svenska kraftnät) Volym spillvatten - SCB
**Kalkhalt i grundvattnen över sverige - SGU json **Grundvattennivåer med tidsserier sen 60-talet 2ggr/månaden **Kalkhalt i vattendrag/sjöar - Havsmyndigheten **SMHI - avrinningsområden **SMHI - regn prognos **Risk för översvämning - MSB **Gifthalt/Radioaktivetet i grundvattnet - Miljöövervakning Json via API anrop **Alla brunnar i Sverige - SGU json **Sveriges matdistributionscenter - SLU **Matkonsumtion länsvis Jordbruksverket **Matproduktion Jordbruksverket **Vattenkonsumtion Länsvis LMV **Vilken mat vi importerar och vart ifrån - Livsmedelsverket - **Vattenbrist prognos för EU kommande 50 åren - EU **Specifika Industriers områden i Sverige - SCB
The concept and cost calculations are done.
Challenges I ran into
Deciding what information was important on the map and how to visually present it. Realizing I would not have the time to make a fully working irl demo and change to designing a concept instead.
Accomplishments that I'm proud of
Distributing the workload across the available time we have been given since I am alone. Being able to go to bed early relative to other hackathons I have attended.
What I learned
To find a nisch and exploit it. Going through a shitload of data and deciding what is relevant for my project.
What's next for Food4Life
Securing enough investment (pref: government funded) to build and deploy a trial grow area underground. Develop the crowd platform and start researching the different "recipes".