Autonomous Food Production

Metadata Updated: May 2, 2019

Growing food in space will not only allow us to extend the length of future missions in space, but also significantly increase the astronauts' well-being. The proposed research focus on the fundamental sensing and manipulation challenges of automating parts of the operations of in-space greenhouses to facilitate tele-operation. Specifically, we are investigating machine learning techniques to extract the growth stage of plants from a combination of volumetric, color, and infrared data, and novel algorithms for manipulating flexible structures using two arms, much like a human gardener does when picking a fruit.

Access & Use Information

Public: This dataset is intended for public access and use. License: U.S. Government Work

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Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date May 2, 2019
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_11476
Maintainer Email
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Datagov Dedupe Retained 20190501230127
Harvest Object Id 76d4224f-85d6-4a70-b62a-b4170f54a4c2
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2015-12-01
Homepage URL
Data Last Modified 2018-07-19
Program Code 026:027
Source Datajson Identifier True
Source Hash 75525e7fdc51e675add5c3dafdab246890932f17
Source Schema Version 1.1

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