Federating and Harmonising Disparate Soil Moisture Data Sources

9 pages•Published: September 20, 2018

Matthew Stenson, Ashley Sommer, Ross Searle and David Freebairn

Abstract

As with many industries, digital disruption will play a major role in shaping agriculture over the coming years as decisions become increasingly data driven. A significant proportion of this data will come from on-farm sensors that are becoming easier to source and deploy. While access to sensors is becoming increasingly cost effective, accessing and integrating the data they provide is still a major issue for many, due to the use of different standards for describing and sharing the data. The Soil sensing - new technology for tracking soil water availability, managing risk and improving management decisions project has developed a distributed system that addresses the technical challenge of federating disparate data sources through the use of a software mediation layer and a semantically enabled metadata harvest, search and discovery tool. These web services, the O&M Translator and the Data Brokering Layer, allow a unified and federated view of the data, enabling integrated search and discovery and provide access through a SOS compliant API, delivering the data to client using the O&M data model and a TimeseriesML representation. The resulting Data Stream Integrator is already being tested in applications such as SoilWaterApp.

Keyphrases: observations & measurements, soil moisture, sos

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2019-2027.

Links:	https://easychair.org/publications/paper/HlBH
	https://doi.org/10.29007/2dsg

BibTeX entry

@inproceedings{HIC2018:Federating_Harmonising_Disparate_Soil,
  author    = {Matthew Stenson and Ashley Sommer and Ross Searle and David Freebairn},
  title     = {Federating and Harmonising Disparate Soil Moisture Data Sources},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/HlBH},
  doi       = {10.29007/2dsg},
  pages     = {2019-2027},
  year      = {2018}}

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