We anticipate developing an algorithm to identify glyphosate-resistant weeds in the field. Project personnel will improve the accuracy of discriminating weeds types and develop a method for identifying weeds in the field to develop weed maps by remote sensing. Remote sensing will provide a cheaper, more efficient method of mapping infestations than ground surveys. Results of this work will be presented at conferences, grower meetings, field day tours and NDSU website. The work will also be submitted to peer-reviewed journals for publication.