The patch treatment of weeds in cereals
S Christensen, A M Walter and T Heisel, Danish Institute of Agricultural Sciences, Flakkeberg, Denmark

Microcontroller-based multi-sensor system for online crop/weed detection
A Ruckelshausen, T Dzinaj, F Gelze, S Kleine-Hörstkamp and A Linz, University of Applied Sciences, Osnabrück, Germany
J Marquering, Amazonen-Werke GmbH, Hasbergen-Gaste, Germany

Vision system for weed detection using hyper-spectral imaging, structural field information and unsupervised training sample collection
F Feyaerts, P Pollet, L van Gool and P Wambacq, ESAT-PSI, Heverlee, Belgium

The influence of growth stage of weeds on the glyphosate dose needed
H de Ruiter, A J M Uffing and N M van Dijk, AB-DLO, Wageningen, The Netherlands

Evaluating site-specific weed control in a maize-soybean rotation system
H J Goudy and F J Tardif, University of Guelph, Canada
R B Brown and K A Bennett, University of Guelph, Canada

Methods of weed patch detection in cereal crops
P J W Lutman and N H Perry, IACR-Rothamsted, Harpenden, UK