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Dirk Conzelmann

538 days ago
Unfiled. Edited by Dirk Conzelmann 538 days ago
  • Erweiterung der GPIOs durch Arduino Leonard
 
Our Mission statement is autonomous farming, through learning on basis on collaborative gaming.
 
Instead of agriculture for their daily needs, it will help the astronauts to focus on their important tasks. It will make earth independent deep space mission possible.
 
The astronauts should not focus on agriculture for their daily needs, instead they should focus on their important tasks for the mission. 
This will make earth independent deep space mission possible.
 
The solution
So our solution is that autonomous farming. For solving this, we start to teach the autonomous farm by user generated inputs.
 
The technical approach
Let us explain the technical concept behind the idea. We built this prototype green house that contains everything you need for autonomous farming capabilities in space. We achieve this by training a machine learning algorithm and applying the collective swarm intelligence by gamers, who are taking part and controlling our green house. 
 
(let's demonstrate it for you.) The user joins the game, takes over the control and gets points for interactions. The better his decisions are, this means the better the plants will grow, the more points he earns.
The amount of points is evaluated by sensor data. For example if the plant needs light, the user can activate the LED and the brightness sensor is providing feedback to the player. But there are even more sensors and actuators in our greenhouse to play with, like a water pump...
The catch is that no one is playing alone, you are part of a big team and the overall team decision is carried out by our space green house.
 

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