Towards weeds identification assistance through transfer learning

•Weed identification using deep learning techniques.•Different pre-processing and transfer learning strategies were evaluated.•The performance of 7 state-of-art deep neural architectures were performed.•A dataset containing annotated crops and weeds has been published.•The methodology proposed can be used by either RGB or multispectral pictures.