Cite
New Machine Learning Study Findings Reported from Agriculture and Agri-Food Canada (Exploiting High-Throughput Indoor Phenotyping to Characterize the Founders of a Structured B. napus Breeding Population)
MLA
“New Machine Learning Study Findings Reported from Agriculture and Agri-Food Canada (Exploiting High-Throughput Indoor Phenotyping to Characterize the Founders of a Structured B. Napus Breeding Population).” Life Science Weekly, 18 Jan. 2022, p. 2455. 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=edsggo&AN=edsgcl.689646694&authtype=sso&custid=ns315887.
APA
New Machine Learning Study Findings Reported from Agriculture and Agri-Food Canada (Exploiting High-Throughput Indoor Phenotyping to Characterize the Founders of a Structured B. napus Breeding Population). (2022, January 18). Life Science Weekly, 2455.
Chicago
Life Science Weekly. 2022. “New Machine Learning Study Findings Reported from Agriculture and Agri-Food Canada (Exploiting High-Throughput Indoor Phenotyping to Characterize the Founders of a Structured B. Napus Breeding Population),” January 18. 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=edsggo&AN=edsgcl.689646694&authtype=sso&custid=ns315887.