In recent history, Nasa and ESA, among other agencies, have been analyzing two priorities of present and future long term missions in space: the reduction of the teams’ workload, and the food supply.


This project tackles these issues by proposing an autonomous efficient growing plant systems based on arugula. Using a nutrient filled hydroponic technique, an arm robot, the image recognition algorithm Overfeat, OpenCV, Python-tesseract and a Markov Decision Process environment, decisions will be taken in order to minimize resources consumption and the amount of space taken. A prototype will be constructed and the algorithms tested and optimized. The second stage of the project will consist in analyzing a greater amount of plants as well as isolating the system from ambient conditions.

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