Towards a secure and self-adapting smart indoor farming framework; [Ansatz für sichere und selbstadaptierende Systeme in der automatisierten Landwirtschaft]

被引：0

作者：

Gnauer C. ^{[1
]}

Pichler H. ^{[1
]}

Tauber M. ^{[2
]}

Schmittner C. ^{[3
]}

Christl K. ^{[3
]}

Knapitsch J. ^{[4
]}

Parapatits M. ^{[4
]}

机构：

[1] Forschung Burgenland GmbH, Campus 1, Eisenstadt

[2] Fachhochschule Burgenland, Campus 1, Eisenstadt

[3] Austrian Institute of Technology GmbH, Giefinggasse 4, Wien

[4] PhytonIQ Technology GmbH, Raimundgasse 25, Oberwart

来源：

e & i Elektrotechnik und Informationstechnik | 2019年 / 136卷 / 7期

关键词：

cloud computing; IoT; robotics; vertical farming;

D O I：

10.1007/s00502-019-00745-0

中图分类号：

学科分类号：

摘要：

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. © 2019, The Author(s).

引用

页码：341 / 344

页数：3