@article{https://doi.org/10.21256/zhaw-20524,<br/><span class="tab"></span>
  doi = {10.21256/ZHAW-20524},<br/><span class="tab"></span>
  url = {https://digitalcollection.zhaw.ch/handle/11475/20524},<br/><span class="tab"></span>
  author = {{Wróbel,<br/><span class="tab"></span> Anna} and {Gygax,<br/><span class="tab"></span> Gregory} and {Schmid,<br/><span class="tab"></span> Andi} and {Ott,<br/><span class="tab"></span> Thomas}},<br/><span class="tab"></span>
  keywords = {Peach variety identification,<br/><span class="tab"></span> ML classification,<br/><span class="tab"></span> 3D scan,<br/><span class="tab"></span> 006: Spezielle Computerverfahren,<br/><span class="tab"></span> 634: Obstanlagen,<br/><span class="tab"></span> Früchte und Forstwirtschaft},<br/><span class="tab"></span>
  language = {en},<br/><span class="tab"></span>
  title = {Going for 2D or 3D? : investigating various machine learning approaches for peach variety identification},<br/><span class="tab"></span>
  publisher = {Springer},<br/><span class="tab"></span>
  year = {2020},<br/><span class="tab"></span>
  copyright = {Licence according to publishing contract}
}