Method / resourcemodel-written summary

The model achieved 99.45% accuracy.

A claim from Cont-Transformer: enhancing image recognition for orchard fruit-boring pest monitoring with contrastive learning · 2026

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

The model achieved 99.45% accuracy.

Taxon
apple and pear orchardst1
Outcome
accuracye0
Value
99.45%e0
Comparator
eight other popular modelse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingDirectionQualifier

Verbatim

e0

“The proposed recognition model achieved accuracy, precision, and recall rates of 99.45%, 99.40%, and 99.45%, respectively, outperforming eight other popular models”

✓ located verbatim in the source · abstract, characters 1738–1901
t1

“apple and pear orchards”

✓ located verbatim in the source · abstract, characters 65–88

Title

Cont-Transformer: enhancing image recognition for orchard fruit-boring pest monitoring with contrastive learning

Jingjun Cao; Xiaoqing Xian; Zhida Duan; et al. Frontiers in Agronomy 2026. doi:10.3389/fagro.2026.1765811

Other claims from this paper (3)

Record rev-95f4ee8e65ebe956c2dd368ba4eed7676b1cdaeb5b355da22437460b3bfa2b12 · schema claims-v0.9 · position 1 in the model’s answer