Method / resourcemodel-written summary

Both labeling methods for YOLO crack detection in cherry tomatoes yielded satisfactory results.

A claim from Development of an AI-Based Detection System for Cherry Tomato Skin Splitting and Cracking · 2024

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Both labeling methods for YOLO crack detection in cherry tomatoes yielded satisfactory results.

Outcome
satisfactory resultse2

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionValueQualifier

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

Solanum lycopersicum var. cerasiforme
Solanum lycopersicum var. cerasiforme · TaxonJS · CC BY-SA 3.0 · Wikimedia Commons ↗

Verbatim

t0

“Cherry Tomato”

✓ located verbatim in the source · title, characters 48–61
e2

“both methods yielded satisfactory results”

✓ located verbatim in the source · abstract, characters 464–505

Title

Development of an AI-Based Detection System for Cherry Tomato Skin Splitting and Cracking

Masanori Sato; Zhaohui Tan; Takahiro Naruse; et al. 2024 13th International Conference on Renewable Energy Research and Applications (ICRERA) 2024. doi:10.1109/icrera62673.2024.10815464

Other claims from this paper (1)

Record rev-c8588503f9a0dc5e56d2cd8556cd5f3e77f0f5ca4ab016a2e283e44f44fc0847 · schema claims-v0.9 · position 2 in the model’s answer