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This study aimed to perform site-specific weed control (SSWC) in a corn field by using a unmanned aerial system (UAS) to map the spatial distribution information of weeds in the field, creating a prescription map based on the weed distribution map, and spraying the field using the prescription map and a commercial size sprayer. A Crop Row Identification algorithm was proposed to identify the corn rows and the remaining vegetation fraction was classified as weeds. The decision of spraying herbicides on a particular grid was based on the presence of weeds in that grid cell. Using the SSWC approach, 26.2% of the acreage was saved from being sprayed with herbicide compared to the current method.