Claim · model-written summary
In the test set, the RMSE for monitoring disease severity was 3.15%, compared with the optimal single-index classification.
- Taxon
- cotton
Gossypium hirsutumt0 - Interactor
- VerticilliumVerticilliumt0pathogen
- Outcome
- RMSEe3
- Value
- 3.15%e3
- Qualifier
- for monitoring disease severitye3
- Comparator
- optimal classification constructed using a single spectral indexe3
Not reportedMaterialGeneCompoundOrgan / stageSecond interactorSecond interactor roleTreatmentSettingDirection
Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Verbatim
t0“Cotton Verticillium Wilt”
e3“the test set R2 was 0.73 and RMSE was 3.15% for monitoring disease severity, compared to the optimal classification constructed using a single spectral index”
Title
Early Monitoring of Cotton Verticillium Wilt by Leaf Multiple “Symptom” Characteristics
Mi Yang; Changping Huang; Xiaoyan Kang; et al. Remote Sensing 2022. doi:10.3390/rs14205241
Other claims from this paper (4)
- Method / resource Physiological indices constructed under VW stress were better indicators of VW disease than traditional vegetation indices.
- Method / resource The CVEWI index achieved 95% accuracy in the test set.
- Method / resource The CVEWI index achieved a Kappa coefficient of 0.89.
- Method / resource In the test set, the R2 for monitoring disease severity was 0.73, compared with the optimal single-index classification.