Claim · model-written summary
VGG19 performed exceptionally among the disease detection models.
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingDirectionValueQualifier
Verbatim
e0“All the models yielded satisfactory results, however, VGG19 exhibited exceptional performance.”
t0“Dragon Tree”
Title
Deep Transfer Learning Approach to Detect Dragon Tree Disease
Nayem Uddin Prince; Md Reduanur Rahman; Md Shakhawat Hossen; et al. 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS) 2024. doi:10.1109/icbds61829.2024.10837392
Other claims from this paper (5)
- Observation The photographed dragon fruit plants showed three prevalent diseases: anthracnose, root rot and stem canker.
- Method / resource All four image classification models yielded satisfactory disease detection results.
- Method / resource The VGG19 model reached 92% disease classification accuracy.
- Method / resource The device detected three dragon fruit diseases.
- Method / resource The device detected freshly harvested dragon fruit.