RoWeeder is an innovative framework designed for unsupervised weed mapping that combines crop-row detection with a robust deep learning model. It creates pseudo-ground truth using crop-row information, enabling effective differentiation between crops and weeds, achieving an F1 score of 75.3 on the WeedMap dataset. The integration of RoWeeder with drone technology allows for real-time aerial surveys, enhancing weed management in agriculture.