The project targets to develop an optical method for objective estimation of soil cover. A machine learning technique is developed which segments a soil image into divert soil cover types. For easy mobile usage, the algorithm is integrated into a web service. The estimate soil cover value delivers a measurement for the corrosion resistance of the soil. For the validation of the system, manual annotated images are compared with its classification results from the developed algorithm.
|Duration:||01/2015 – 05/2017|
|Funded by:||Land Niederösterreich|