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Journaux
Journal of Nematology
Édition 55 (2023): Edition 1 (February 2023)
Accès libre
Plant Parasitic Nematode Identification in Complex Samples with Deep Learning
Sahil Agarwal
Sahil Agarwal
,
Zachary C. Curran
Zachary C. Curran
,
Guohao Yu
Guohao Yu
,
Shova Mishra
Shova Mishra
,
Anil Baniya
Anil Baniya
,
Mesfin Bogale
Mesfin Bogale
,
Kody Hughes
Kody Hughes
,
Oscar Salichs
Oscar Salichs
,
Alina Zare
Alina Zare
,
Zhe Jiang
Zhe Jiang
et
Peter DiGennaro
Peter DiGennaro
| 16 oct. 2023
Journal of Nematology
Édition 55 (2023): Edition 1 (February 2023)
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Article Category:
Research Note
Publié en ligne:
16 oct. 2023
Pages:
-
Reçu:
07 juil. 2023
DOI:
https://doi.org/10.2478/jofnem-2023-0045
Mots clés
detection
,
diagnosis
,
identification
,
deep learning
,
method
,
technique
© 2023 Sahil Agarwal et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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
Department of Entomology and Nematology, University of Florida
Gainesville