Using ubiquitous computing technology to realise scalable intelligent agricultural environments
Using ubiquitous computing technology to realise scalable intelligent agricultural environments
- Author(s): P. Stamatis ; C. Goumopoulos ; A. Karneas
- DOI: 10.1049/cp:20070427
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- Author(s): P. Stamatis ; C. Goumopoulos ; A. Karneas Source: 3rd IET International Conference on Intelligent Environments (IE 07), 2007 p. 564 – 571
- Conference: 3rd IET International Conference on Intelligent Environments (IE 07)
- DOI: 10.1049/cp:20070427
- ISBN: 978 0 86341 853 2
- Location: Ulm, Germany
- Conference date: 24-25 Sept. 2007
- Format: PDF
Wireless networks allow the deployment of sensing systems and actuation mechanisms at a much finer level of granularity than has been possible before. This paper is focused on connecting sensor data with actuators through a decision-making layer with learning capability. The decision making process regarding the provision of agricultural resources is extended this by on-line monitoring significant plant and environmental parameters and by applying machine-learning algorithms for inducing rules by analysing logged datasets to determine the significant thresholds of plant-based parameters.
Inspec keywords: ubiquitous computing; learning (artificial intelligence); decision making; agriculture
Subjects: Knowledge engineering techniques; Neural computing techniques; Agriculture; Distributed systems software; Agriculture, forestry and fisheries computing
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