Author(s): Ashley Sommer; Matt Stenson; Ross Searle
Linked Author(s):
Keywords: Soil; Agriculture; Farm data; Metadata; Federation; Observations& Measurements; Sensor Observation Service; O& M; SOS; DBL; TimeseriesML; SensorML
Abstract: A very large volume of climatic and agricultural data is captured and recorded by on-farm monitoring devices that is uploaded to various different data service providers. It is consistently difficult for land managers to discover, access, understand and use the data due to its disparate nature, limited access to it and multiple proprietary formats used. The Soil Sensing project is developing tools and technologies to help improve the ability to discover, access, understand, and use time-series farm-scale data across disparate data providers. This is achieved by the development and deployment of loosely-coupled web services in the form of a Data Streams Integrator system (DSI), which implements a combined brokered and federated data supply chain pattern. The DSI is composed of the Data Brokering Layer, the Observations and Measurements translation layer, the Sensor Observation Service interface and a metadata registry and repository.
Year: 2018