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Table 1 Summary of state-of-the-art (SOTA) models using PlantVillage dataset

From: Robust CRW crops leaf disease detection and classification in agriculture using hybrid deep learning models

Author

Year

Model

Limitation

[18]

2024

PDDNet-AE, PDDNet-LVE

No data of handling overfitting

[19]

2023

AgriDet framework with INC-VGGN

Lack of comparison with newer models

[20]

2023

DenseNet and EfficientNet

Minor drop in testing accuracy compared to training accuracy

[21]

2022

DenseNet-121, ResNet-50, VGG-16, Inception V4

No data of solving overfitting or generalization

[22]

2022

Deep CNN

Focused only on semantic segmentation, not end-to-end detection

[23]

2024

Visual Transformer architectures

Limited generalization outside specific datasets

[24]

2024

CNN with six layers and Dense ANN

No information of comparison with modern transformer models

[25]

2024

LeafyGAN

Lower performance on PlantDoc dataset compared to PlantVillage

[26]

2024

Transformer block model with inception architecture

Requires high computational resources due to transformer architecture

[27]

2024

CBAM + MAE

No indication of real-time efficiency or generalizability to other datasets