PNS-Cyst-Count-Artifical: images of controlled number of nematode cysts with orgnic debris

<p>Data collected by the PheNeSens (Phenotyping of Nematodes with Sensors) project. The images recorded&nbsp;cysts of sugar beet nematode, together with organic debris from the soil sample, left after the soil processing.</p> <p>This dataset was generated by manually picking nematode cysts into organic debris, so that the cyst count is known and controlled. A total of 6x8=48 samples were synthesized. Each sample contains 30 images.</p> <p>We also collected images of real soil samples, which is available from the links:</p> <p>https://zenodo.org/record/6861775</p> <p>https://zenodo.org/record/6861814</p> <p>For details of the data collection and deep learning model training, refer to our paper:</p> <p>Chen L, Daub M, Luigs H-G, Jansen M, Strauch M and Merhof D (2022) High-throughput phenotyping of nematode cysts. Front. Plant Sci. 13:965254. doi: 10.3389/fpls.2022.965254 [<a href="https://www.frontiersin.org/articles/10.3389/fpls.2022.965254/full?&amp;utm_source=Email_to_authors_&amp;utm_medium=Email&amp;utm_content=T1_11.5e1_author&amp;utm_campaign=Email_publication&amp;field=&amp;journalName=Frontiers_in_Plant_Science&amp;id=965254">link</a>]</p>