Beech leaf disease symptom detection using deep learning and computer vision tools
Authors
Benjamin D. Waldo
USDA-ARS, Mycology and Nematology Genetic Diversity and Biology Laboratory, Beltsville, USA
Paulo Vieira
USDA-ARS, Mycology and Nematology Genetic Diversity and Biology Laboratory, Beltsville, USA
Matthew A. Borden
Bartlett Tree Research Laboratories, Charlotte, USA
Shiguang Li
USDA-ARS, Mycology and Nematology Genetic Diversity and Biology Laboratory, Beltsville, USA
Language: English
Page range: 66 - 77
Submitted on: Jan 20, 2026
Accepted on: Mar 20, 2026
Published on: Apr 27, 2026
Published by: Society of Nematologists, Inc.
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Related subjects:
© 2026 Benjamin D. Waldo, Paulo Vieira, Matthew A. Borden, Shiguang Li, published by Society of Nematologists, Inc.
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.