Claim · model-written summary
The MLR model gave the highest accuracy for firmness estimation, with a success rate of 82.93% compared to the SLR model.
- Taxon
- tomato
Solanum lycopersicume1 - Material
- Bandita F1e1
- Outcome
- success ratee2
- Direction
- higheste2
- Value
- 82.93%e2
- Comparator
- SLR modele2
Not reportedGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“The tests were carried out on Bandita F1 greenhouse tomato variety at six maturity stages”
e2“Therefore, it can be applied for firmness estimation of Bandita F1 greenhouse tomatoes with highest accuracy and success rate of 82.93% compared to SLR model in this study”
Title
Nondestructive Dropped Fruit Impact Test for Assessing Tomato Firmness
K. Vursavus; Z. Kesilmis; B. Oztekin DOAJ (DOAJ: Directory of Open Access Journals) 2017. doi:10.3303/cet1758055
Other claims from this paper (5)
- Method / resource The MLR firmness model had an RMSE of 0.19 N after validation.
- Method / resource The MLR firmness model had a MAPE of 5.35% after validation.
- Method / resource The MLR firmness model had a MAE of 0.10 N after validation.
- Method / resource The MLR firmness model had an R2 of 0.85 after validation.
- Observation Average firmness values of 135 tomato samples were primarily separated into two groups.