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Andreas Hornig

543 days ago
Unfiled. Edited by Andreas Hornig 543 days ago
David L Mission statement
Our Mission statemtent is autonomous farming, through learning on basis on collaborative gaming.
 
 
The problem
The food supply & resource management for long term space missions will be a future challenge that needs to be tackled today.
Instead of agrculturing for their daily needs, it will help the astronauts to focus on their important tasks. It will make earth indepent deep space mission possible.
 
The problem is food supply & resource management for long term space mission. 
We want to tackled this future problem.
The astronauts should not focus on agriculturing for their daily needs, instead they should focus on their important tasks for the mission. 
This will make earth indepent deep space mission possible.
 
The solution
So our solution is that autonomous farming. For soving 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 protoype 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. 
Andreas H Machine learning is applied to make the autonomous farm adaptable on the ever changing needs of the plants. And we believe the best solution for this difficult task is by means of machine learning.
 
David L Gamification
(let's demonstrate it for you.) The user joins the game, takes over the control and gets points for interactions. The better decisions he do, this means the better the plants will grow, the more points he earns.
Andreas H The amount of points is evalutated 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 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 teamp decision is carried out by our space green house.
 
Future
Our vision is that our green house is not only used off-earth, but also on earth. It can help stopping food shortage in urban or desert areas.
 
Please play cress.space to make an impact in space and on earth!
 
30 Seconds video:
 
 
548 days ago
Unfiled. Edited by Andreas Hornig 548 days ago
Andreas H cress.space_game
 
points
 
for the first seasons
 
  • login / timeunit
  • per day min 1, max 4-6, 1 point per login maximum
  • actions
  • command plus, minus, wait, 3 pts
  • there is no cutoff/Deckelung
  • comparison to the swarm
  • voted as 75% of the swarm = 2 pts
  • voted as 25% of the swarm = 1 pts
  • streaks (badges in brackets)
  • 7 days in a row, 1 login minimum  = 20 pts, each time
  • 31 days in a row, 1 login minimum  = 60 pts, each time
  • 1 once per months per year (12 times in a row) = 20 pts, each time
  • 10 times in a row voted like 75% of the swarm = 20 pts, badge swarmling
  • 10 times in a row voted like 25% of the swarm = 15 pts, badge individual
  • 10 times in a row voted for more light (lighter) = 10 pts, once
  • 10 times in a row voted for less light (darker) = 10 pts, once
  • 10 times in a row voted wait (waiter) = 10 pts, once
  • 10 times in a row voted for more water (flodder)  = 10 pts, once
  • 10 times in a row voted for less water (dryer)  = 10 pts, once
  • voted on the last day of this cycle , 10 pts, each time
  • voted on the starting day of a cycle, 10 pts, each time
  • 10 times voted in a row during the night logged in (utc time), 20 pts, (night farmer)
  • 10 times voted in a row during the day logged in (utc time), 20 pts (day farmer)
  • 10 times in a row voted the same as the machine learning algo (Die Maschine!)
 
badges
 
comparison boxes:
have cress boxes at cool places to compete with them, like analogue mars missions, arctic, etc...
 
game mode:
coupling of two boxes, one on ISS one on earth, receiving the same commands. looking what is happening. perhaps a one time batch. perhaps a nasa certificate.
 
Misc:
User generated rules? Proposing modifications?
 
Long term motivation:
using cress as a basis for the boxes, that were really flown in space. The players will get a certain amount of the "space cress" when reaching a certain amount of points. Did cress fly in space?
yes! NASA SHOULD SEND US SAMPLES!
give feedback on how "ready" the current machine learning algo was trained already by the users!
 
 
548 days ago
Unfiled. Edited by Andreas Hornig 548 days ago
cess.space_game
 
 
for the first
 
  • login / timeunit
  • per day min 1, max 4-6, 1 point per login maximum
  • actions
  • command plus, minus, wait, 3 pts
  • there is no cutoff/Deckelung
  • comparison to the swarm
  • voted as 75% of the swarm = 2pts
  • voted as 25% of the swarm = 1pts
  • streaks
  •  
 
badges
 
 
1290 days ago
Unfiled. Edited by Andreas Hornig 1290 days ago
  • Marcel Maatkamp, Amsterdam region currently in Noordwijk, Netherlands. With a RTL-SDR dongle costing no more than a 10-15 dollars or euro's (I have a few with me) one can receive live(!) satellite data with no further costs, but only when the satellite is visible to you, which is normally just a few minutes or a little more. The same concept of sharing that received data like flightradar24 does with multiple recipients but with data coming from live from airplanes, it should be possible to aggregate the data centrally and redistribute the data back to the participants. My skills are: full-stack application java developer,  from database to frontend, I can develop a real-time big-data platform where the only limit is the physical network bandwidth. 
Andreas H
  •  Marcel Maatkamp I sent you an email. I could help you with the infrastructure/grid. We have 10000 Users world wide on www.aerospaceresearch.net already doing something like you do and who would plug your sdr dongle to their pc and sent the received data to a central server. If you are interested, mail/skype me. Best, Andreas Hornig (12.04.14, 17:34 German Time)
 

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