Claim · model-written summary
Xception had 92% precision.
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingQualifier
Verbatim
e0“high precision (92%)”
Title
Deep Plant: Detecting Plant Diseases and Recommending Remedies with Deep Learning
Harsha Vardhan Upadrasta; Nikunj Reddy Porla; M Keshava Reddy; et al. 2024 International Conference on Artificial Intelligence and Emerging Technology (Global AI Summit) 2024. doi:10.1109/globalaisummit62156.2024.10947865
Other claims from this paper (5)
- Method / resource Xception achieved 98.06% test accuracy for crop disease detection.
- Method / resource Xception had a test loss of 0.015.
- Method / resource Xception had 94% recall.
- Method / resource Xception had a 92% F1 score.
- Method / resource The RNN model had 82.46% test accuracy, inferior to Xception.