?url_ver=Z39.88-2004&rft_id=doi%3A10.1016%2Fj.patrec.2015.10.013&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aufirst=Massimo&rft.aulast=Minervini&rft.au=Minervini%2C+Massimo&rft.issn=0167-8655&rft.volume=81&rft.pages=80-89&rft.title=Pattern+Recognition+Letters&rft.atitle=Finely-grained+annotated+datasets+for+image-based+plant+phenotyping&rft.date=October+2016&rft.genre=article