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Leaf Disease Classification research benchmarks · SOTA2 Research

Leaf Disease Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

98.87Accuracy

35

Feb 26, 2026

91.24Accuracy

21

Apr 30, 2026

Rice Dataset (test)

98.87Accuracy

10

Feb 26, 2026

PlantVillage Dataset (test)

0.987Accuracy

10

Feb 26, 2026

Maize Dataset (test)

95Accuracy

10

Feb 26, 2026

Apple Dataset (test)

95.42Accuracy

10

Feb 26, 2026

Embrapa Dataset (test)

Chen et al. [25]

0.28Loss

9

Feb 26, 2026

Sesame leaf disease dataset (test)

Proposed framework

97.32Accuracy

6

Jun 23, 2026

Cotton 7 cls (test)

90.24Accuracy

5

Feb 26, 2026

Rice Leaf Images

InceptionNetV3+Dual Loss

99.6Accuracy

4

Mar 27, 2026

Rice Leaf Dataset UCI

DEX (Densenet121, EfficientNetB7, and Xception)

98Accuracy

1

Mar 27, 2026

Wheat Leaf Dataset

97.64Accuracy

1

Mar 27, 2026

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PlantVillage Cotton Maize PlantDoc Apple Dataset

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