Claim · model-written summary
RBF SVM recognized wheat stripe rust with 96.67% training accuracy.
- Taxon
- wheat
Triticum aestivumt0 - Outcome
- recognition rates of wheat stripe ruste0
- Value
- 96.67%e0
- Qualifier
- training setse0
Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
t0“wheat stripe rust”
e0“the recognition rates of wheat stripe rust and wheat leaf rust were both 96.67% for the training sets,and 100% for the tested sets”
Title
Image recognition of wheat stripe rust and wheat leaf rust based on support vector machine
Haiguang Wang Zhongguo Nongye Daxue xuebao 2012
Other claims from this paper (4)
- Method / resource RBF SVM recognized wheat leaf rust with 96.67% training accuracy.
- Method / resource RBF SVM recognized wheat stripe rust with 100% test accuracy.
- Method / resource RBF SVM recognized wheat leaf rust with 100% test accuracy.
- Method / resource The RBF kernel was judged most suitable for recognizing the two wheat rusts.