Towards a secure and self-adapting smart indoor farming framework
Publisher
Springer
Source
e & i Elektrotechnik und Informationstechnik,136, 341–344
Journal
ISSN
0932-383X
Date Issued
2019-10-21
Author(s)
Schmittner, Christoph
Christl, Korbinian
Knapitsch, Johannes
Parapatits, Martin
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.
Funding(s)
Subjects
vertical farming
robotics
cloud computing
IoT
Type
Wissenschaftlicher Artikel