Plant Parasitic Nematode Identification in Complex Samples with Deep Learning

• Published in: Journal of nematology Vol. 55; no. 1; pp. 20230045 - 915
• Main Authors: Agarwal, Sahil, Curran, Zachary C., Yu, Guohao, Mishra, Shova, Baniya, Anil, Bogale, Mesfin, Hughes, Kody, Salichs, Oscar, Zare, Alina, Jiang, Zhe, DiGennaro, Peter
• Format: Journal Article
• Language: English
• Published: Poland Sciendo 01.02.2023
• Subjects: deep learning; detection; diagnosis; identification; method; Research Note; technique; deep learning; diagnosis; technique; detection; identification; method

Plant parasitic nematodes are significant contributors to yield loss worldwide, causing devastating losses to every crop species, in every climate. Mitigating these losses requires swift and informed management strategies, centered on identification and quantification of field populations. Current p...