Precision agriculture requires the collection, storage, sharing and analysis of large quantities of spatially referenced data. For this data to be effectively used, it must be transferred between different hardware, software and organisations. These data flows currently present a hurdle to uptake of precision agriculture as the multitude of data models, formats, interfaces and reference systems in use result in incompatibilities. This paper presents work on applying standards from the Open Geospatial Consortium and related initiatives to automate agricultural data processing. The selected use-cases demonstrate how such standards may be used to improve the inter-operability of data and software in precision agriculture.
Precision Agriculture – Springer Journals
Published: Aug 12, 2009
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