Soil color sensor data collection using a GPS-enabled smartphone application

Autor: Christopher J. Post, Jack Mooney, Roy P. Pargas, Roxanne Stiglitz, Julia L. Sharp, Mark A. Schlautman, Elena A. Mikhailova, Benjamin Glover
Rok vydání: 2017
Předmět:
Zdroj: Geoderma. 296:108-114
ISSN: 0016-7061
DOI: 10.1016/j.geoderma.2017.02.018
Popis: Application of accurate and low-cost sensor technology to collect soil color data provides an opportunity to increase the density, quality and quantity of soil data to monitor our changing soil resources. The objective of this study was to develop a mobile application that would enable users to create their own soils database consisting of GPS location and soil color data gathered using the application and a mobile sensor. A mobile application was created utilizing the Nix™ Pro color sensor that produces multiple color results, including Munsell color notation. The application also allows users to toggle between “in-field” sampling as well as dry or moist soil samples. Users can choose to record GPS location and a photo of the soil sample to upload into an online database for storage. The application was tested for functionality in the field and for its ability to match Munsell notation values determined using a Munsell Soil Color Chart (MSCC). Field data were synchronized to a cloud database and subsequently retrieved and used to produce a Geographic Information Systems (GIS) layout showing sample point locations and soil color attributes. The Soil Scanner application allows for rapid analysis and collection of soils data that can be stored for further study and reference using various color systems and location data.
Databáze: OpenAIRE
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