Researchers have developed a protocol for image capture using sUAS, subsequent image classification using artificial intelligence tools, and then creating weed escape maps for directed spraying. This continuing series of interrelated projects will demonstrate a comprehensive solution for end-to-end automation of controlling glyphosate resistant weed escapes in row crop production.