The system presented employs a mobile camera system which simultaneously photographs two geocoded images in two different spectral bands and compares them to each other and the average identification rate with a knowledge base, consisting of five weed classes, was around 80 %.
In coming years sugar beet production will be confronted with extensive changes. Especially in regions with unfavourable production structures the negative impacts of this development will heavily affect the eaming capacity and the competitiveness of sugar beet production. Therefore, in these regions all measures to optimise the infrastructure have to be utilised. The alternatives of growing sugar beet on transborder fields and its capabilities are among these.