Do-It-Yourself digital agriculture applications with semantically enhanced IoT platform

التفاصيل البيبلوغرافية
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.
رقم الانضمام: edsbas.4C86776B
قاعدة البيانات: BASE