Identification of the condition of crops based on geospatial data embedded in graph databases

P. Idziaszek; W. Mueller; K. Górna; P. Okoń; P. Boniecki; K. Koszela; A. Fojud

doi:10.1117/12.2281722

21 July 2017 Identification of the condition of crops based on geospatial data embedded in graph databases

P. Idziaszek, W. Mueller, K. Górna, P. Okoń, P. Boniecki, K. Koszela, A. Fojud

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042006 (2017) https://doi.org/10.1117/12.2281722
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

Abstract

The Web application presented here supports plant production and works with the graph database Neo4j shell to support the assessment of the condition of crops on the basis of geospatial data, including raster and vector data. The adoption of a graph database as a tool to store and manage the data, including geospatial data, is completely justified in the case of those agricultural holdings that have a wide range of types and sizes of crops. In addition, the authors tested the option of using the technology of Microsoft Cognitive Services at the level of produced application that enables an image analysis using the services provided. The presented application was designed using ASP.NET MVC technology and a wide range of leading IT tools.

Citation Download Citation

P. Idziaszek, W. Mueller, K. Górna, P. Okoń, P. Boniecki, K. Koszela, and A. Fojud "Identification of the condition of crops based on geospatial data embedded in graph databases", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042006 (21 July 2017); https://doi.org/10.1117/12.2281722

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