Our Mission statemtent is autonomous farming, through learning on basis on collaborative gaming.
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.
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 HMachine 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.
(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 HThe 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.
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!
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.
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)