Cite
PhenoTrack3D: An automatic high-throughput phenotyping pipeline to track maize organs over time
MLA
Benoit Daviet, et al. PhenoTrack3D: An Automatic High-Throughput Phenotyping Pipeline to Track Maize Organs over Time. Jan. 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....0eab1953f5938d6f10024dfb0bae1f44&authtype=sso&custid=ns315887.
APA
Benoit Daviet, Romain Fernandez, Llorenç Cabrera-Bosquet, Christophe Pradal, & Christian Fournier. (2022). PhenoTrack3D: An automatic high-throughput phenotyping pipeline to track maize organs over time.
Chicago
Benoit Daviet, Romain Fernandez, Llorenç Cabrera-Bosquet, Christophe Pradal, and Christian Fournier. 2022. “PhenoTrack3D: An Automatic High-Throughput Phenotyping Pipeline to Track Maize Organs over Time,” January. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....0eab1953f5938d6f10024dfb0bae1f44&authtype=sso&custid=ns315887.