Towards a secure and self-adapting smart indoor farming framework
| Autor: | Clemens Gnauer, Johannes Knapitsch, Martin Parapatits, Korbinian Christl, Christoph Schmittner, Markus Tauber, Harald Pichler |
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| Rok vydání: | 2019 |
| Předmět: |
robotics
IoT business.industry Computer science 020209 energy cloud computing 020206 networking & telecommunications Vertical farming Robotics Cloud computing 02 engineering and technology World population vertical farming Software Risk analysis (engineering) Agriculture Scalability 0202 electrical engineering electronic engineering information engineering Food processing Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | e & i Elektrotechnik und Informationstechnik. 136:341-344 |
| ISSN: | 1613-7620 0932-383X |
| Popis: | 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. Forschung Burgenland Informationstechnologie und Informationsmanagement |
| Databáze: | OpenAIRE |
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