Plant Parasitic Nematode Identification in Complex Samples with Deep Learning
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16 ott 2023
INFORMAZIONI SU QUESTO ARTICOLO
Categoria dell'articolo: Research Note
Pubblicato online: 16 ott 2023
Ricevuto: 07 lug 2023
DOI: https://doi.org/10.2478/jofnem-2023-0045
Parole chiave
© 2023 Sahil Agarwal et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Agarwal, Sahil
Department of Electrical & Computer Engineering, University of FloridaGainesville
Curran, Zachary C.
Department of Computer & Information Science and Engineering, University of FloridaGainesville
Yu, Guohao
Department of Electrical & Computer Engineering, University of FloridaGainesville
Mishra, Shova
Department of Entomology and Nematology, University of FloridaGainesville
Baniya, Anil
Department of Entomology and Nematology, University of FloridaGainesville
Bogale, Mesfin
Department of Entomology and Nematology, University of FloridaGainesville
Hughes, Kody
Department of Entomology and Nematology, University of FloridaGainesville
Salichs, Oscar
Department of Entomology and Nematology, University of FloridaGainesville
Zare, Alina
Department of Electrical & Computer Engineering, University of FloridaGainesville
Jiang, Zhe
Department of Computer & Information Science and Engineering, University of FloridaGainesville
DiGennaro, Peter
Department of Entomology and Nematology, University of FloridaGainesville