مؤتمر
Do-It-Yourself digital agriculture applications with semantically enhanced IoT platform
| العنوان: | Do-It-Yourself digital agriculture applications with semantically enhanced IoT platform |
|---|---|
| المؤلفون: | Jayaraman, Prem Prakash, Palmer, Doug, Zaslavsky, Arkady, Georgakopoulos, Dimitrios |
| المساهمون: | Swinburne University of Technology |
| المصدر: | 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, 7-9 April 2015 |
| سنة النشر: | 2015 |
| المجموعة: | Swinburne University of Technology: Swinburne Research Bank |
| الوصف: | Internet of Things (IoT) enables various applications (crop growth monitoring and selection, irrigation decision support, etc) in Digital Agriculture domain. Semantic enhancements to IoT platforms address challenges of interoperability, data fusion, integration of heterogeneous IoT silos, annotation of data streams, just to name a few. This paper discusses the recently developed OpenIoT platform which demonstrated its applicability and efficiency in a number of use cases, including a Digital Agriculture use case (Phenonet). An ontology to represent Phenonet domain concepts in order to facilitate smart collection, annotation, validation, processing and storing of data streams from sensors in the field has been proposed and the results of experimental study, related semantic queries and reasoning using the ontology are presented. A Do-It-Yourself principle-driven zero-programming enabling Phenonet user interface demonstrates benefits, novelty and efficiency of the approach. |
| نوع الوثيقة: | conference object |
| اللغة: | unknown |
| العلاقة: | http://hdl.handle.net/1959.3/434582Test; https://doi.org/10.1109/issnip.2015.7106951Test |
| DOI: | 10.1109/issnip.2015.7106951 |
| الإتاحة: | https://doi.org/10.1109/issnip.2015.7106951Test http://hdl.handle.net/1959.3/434582Test |
| حقوق: | Copyright © 2015 IEEE. |
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