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Integrating morphological and deep learning approaches for the identification of economically important nematode genera in vineyards: Mesocriconema and Xiphinema Cover

Integrating morphological and deep learning approaches for the identification of economically important nematode genera in vineyards: Mesocriconema and Xiphinema

By:  and    
Open Access
|Apr 2026

Figures & Tables

Fig. 1.

The Roboflow 3.0 (YOLOv8 architecture), YOLO-NAS, and YOLOv11 training workflow.

Fig. 2.

Training Loss Curves and Performance Metrics of YOLO-NAS.

Fig. 3.

Evaluation outputs of YOLO-NAS (A): Confusion matrix of class predictions. (B) F1 score distribution across test images.

Fig. 4.

Training loss curves and performance metrics of YOLOv11.

Fig. 5.

Evaluation outputs of YOLOv11 (A): Confusion matrix of class predictions. (B) F1 score distribution across test images.

Fig. 6.

Training loss curves and performance metrics of Roboflow 3.0.

Fig. 7.

Evaluation outputs of Roboflow 3.0 (A): Confusion matrix of class predictions. (B) F1 score distribution across test images.

Nematode species included in the training dataset for YOLO analysis_

Xiphinema pachtaicumDiscolaimusParatylenchus nainianus
Acrobeloides nanusDitylenchus dipsaciPratylenchus thornei
Acrobeles cilliatusDorylaimus sp.Psilenchus hilarulus
Alaimus primitivusFilenchus thorneiProdorylaimus sp.
Aphelenchus avenaeGeocenamus brevidensRhabditis sp.
Aphelenchoides sacchariMesocriconema xenoplaxRotylenchus cypriensis
Boleodorus thylactusHelicotylenchus multicinctusRotylenchulus macrosoma
Cephalobus persegnisHelicotylenchus digonicusTylenchorhynchus cylindricus
Cervidellus sp.Longidorus elongatusHoplolaimus galeatus
Clarkus papillatusMesodorylaimus sp.Ditylenchus myceliophagus
DOI: https://doi.org/10.2478/helm-2026-0002 | Journal eISSN: 1336-9083 | Journal ISSN: 0440-6605
Language: English
Page range: 38 - 47
Submitted on: Oct 22, 2025
Accepted on: Feb 17, 2026
Published on: Apr 27, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2026 L. ÖZTÜRK, B. ŞİN, published by Slovak Academy of Sciences, Institute of Parasitology
This work is licensed under the Creative Commons Attribution 4.0 License.