%0 Journal Article %1 journals/cviu/WardM20 %A Ward, Daniel %A Moghadam, Peyman %D 2020 %J Comput. Vis. Image Underst. %K dblp %P 103009 %T Scalable learning for bridging the species gap in image-based plant phenotyping. %U http://dblp.uni-trier.de/db/journals/cviu/cviu197.html#WardM20 %V 197-198

@article{journals/cviu/WardM20, added-at = {2020-09-05T00:00:00.000+0200}, author = {Ward, Daniel and Moghadam, Peyman}, biburl = {https://www.bibsonomy.org/bibtex/258ad104071feb429415e30d4da7c5973/dblp}, ee = {https://doi.org/10.1016/j.cviu.2020.103009}, interhash = {7c5d44485dfb44deb07913ac88c16717}, intrahash = {58ad104071feb429415e30d4da7c5973}, journal = {Comput. Vis. Image Underst.}, keywords = {dblp}, pages = 103009, timestamp = {2020-09-09T12:22:17.000+0200}, title = {Scalable learning for bridging the species gap in image-based plant phenotyping.}, url = {http://dblp.uni-trier.de/db/journals/cviu/cviu197.html#WardM20}, volume = {197-198}, year = 2020 }