Method / resourcemodel-written summary

Machine learning has classified tomato leaf diseases with high accuracy.

A claim from Preserving Solanaceae Crops: Strategies for Detecting and Controlling Diseases · 2024

Method / resourceobservedreview summarypositivebasis n/a

Claim · model-written summary

Machine learning has classified tomato leaf diseases with high accuracy.

Outcome
classifying tomato leaf diseasese0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

Organisms pictured · Representative pictures of the matched species, not figures from the paper.

Solanum lycopersicum
Solanum lycopersicum · TaxonKod B · CC BY-SA 4.0 · Wikimedia Commons ↗

Verbatim

e0

“Various studies have demonstrated the effectiveness of ML in classifying tomato leaf diseases with high accuracy.”

✓ located verbatim in the source · abstract, characters 859–972

Title

Preserving Solanaceae Crops: Strategies for Detecting and Controlling Diseases

P Jaferkhan; V. Amsaveni 2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST) 2024. doi:10.1109/ictest60614.2024.10576131

Other claims from this paper (2)

Record rev-dc262d47a6db3bf0db27d0a649e182435c35fadd1801af0a4c077f1b2ecee141 · schema claims-v0.9 · position 1 in the model’s answer