Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11790/1295
Title: Towards a secure and self-adapting smart indoor farming framework
Authors: Gnauer, Clemens 
Pichler, Harald 
Tauber, Markus 
Schmittner, Christoph 
Christl, Korbinian 
Knapitsch, Johannes 
Parapatits, Martin 
Keywords: vertical farming;robotics;cloud computing;IoT
Issue Date: 21-Oct-2019
Publisher: Springer
Source: In: e & i Elektrotechnik und Informationstechnik,136, 341–344
Project: Agri-Tec 4.0 
Austria Read and Publish (Springer Compact) agreement 
Journal: e & i Elektrotechnik und Informationstechnik 
Abstract: Facing the increase in world population and the stagnation in available arable land there is a high demand for optimizing the food production. Considering the world-wide and ongoing reduction of the agricultural labor force novel approaches for food production are required. Vertical farming may be such a solution where plants are being produced indoors in racks, cared by robotic appliances which will be operated by specialized software. Given the multitude of parameters which determine the ideal condition, a lot of data needs to be acquired. As this data is used to adapt the entire Cyber-Physical System to a changing environment the data has to be secure and adaptations have to consider safety aspects as well. Such systems must hence be secure, safe, scalable and self-adaptable to a high degree. We present an important element for such solutions, a cloud, IoT and robotic based smart farming framework.
URI: http://hdl.handle.net/20.500.11790/1295
ISSN: 0932-383X
DOI: 10.1007/s00502-019-00745-0
Rights: info:eu-repo/semantics/openAccess
Appears in Collections:Informationstechnologie und Informationsmanagement

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