Main Article Content
Abstract
Information of soil erosion is very useful related with prevention action and planning in the future. The objective of this research is to determine soil concentration in water river based on colour differences using image processing and artificial neural network (ANN). Soil and water mixture image was taken using a digital camera then was processed by an image processing program. Two ANN Models were developed. The first model had 3 input parameters while the second model had 6 input parameters. Both models had altogether one output parameters of the soil concentration. The accuracy of the first model was 38% while the second one was 36%.
Keywords: Soil and Water mixture, image processing, ANN
Diterima: 12 Maret 2008; Disetujui: 20 Juni 2008
Article Details
Authors submitting manuscripts should understand and agree that copyright of manuscripts of the article shall be assigned/transferred to Jurnal Keteknikan Pertanian. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA) where Authors and Readers can copy and redistribute the material in any medium or format, as well as remix, transform, and build upon the material for any purpose, but they must give appropriate credit (cite to the article or content), provide a link to the license, and indicate if changes were made. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.