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Plant Parasitic Nematode Identification in Complex Samples with Deep Learning Cover

Plant Parasitic Nematode Identification in Complex Samples with Deep Learning

Journal of Nematology
Volume 55 (2023): Issue 1 (February 2023)
By: Sahil Agarwal,  Zachary C. Curran,  Guohao Yu,  Shova Mishra,  Anil Baniya,  Mesfin Bogale,  Kody Hughes,  Oscar Salichs,  Alina Zare,  Zhe Jiang and  Peter DiGennaro  
Open Access
|Oct 2023

Authors

Sahil Agarwal

Department of Electrical & Computer Engineering, University of Florida, Gainesville

Zachary C. Curran

Department of Computer & Information Science and Engineering, University of Florida, Gainesville

Guohao Yu

Department of Electrical & Computer Engineering, University of Florida, Gainesville

Shova Mishra

Department of Entomology and Nematology, University of Florida, Gainesville

Anil Baniya

Department of Entomology and Nematology, University of Florida, Gainesville

Mesfin Bogale

Department of Entomology and Nematology, University of Florida, Gainesville

Kody Hughes

Department of Entomology and Nematology, University of Florida, Gainesville

Oscar Salichs

Department of Entomology and Nematology, University of Florida, Gainesville

Alina Zare

Department of Electrical & Computer Engineering, University of Florida, Gainesville

Zhe Jiang

Department of Computer & Information Science and Engineering, University of Florida, Gainesville

Peter DiGennaro

pdigennaro@ufl.edu

Department of Entomology and Nematology, University of Florida, Gainesville
DOI: https://doi.org/10.2478/jofnem-2023-0045 | Journal eISSN: 2640-396X | Journal ISSN: 0022-300X
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Language: English
Submitted on: Jul 7, 2023
|
Published on: Oct 16, 2023
Published by: Society of Nematologists, Inc.
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
detection,
diagnosis,
identification,
deep learning,
method,
technique
Related subjects:
Life sciences,
Life sciences, other

© 2023 Sahil Agarwal, Zachary C. Curran, Guohao Yu, Shova Mishra, Anil Baniya, Mesfin Bogale, Kody Hughes, Oscar Salichs, Alina Zare, Zhe Jiang, Peter DiGennaro, published by Society of Nematologists, Inc.
This work is licensed under the Creative Commons Attribution 4.0 License.

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