Table 1 Comparing different methods for classifying plant Diseases.
From: Deep learning-based automatic diagnosis of rice leaf diseases using ensemble CNN models
Crop type | Techniques used | Datasets | Performance metrics | Accuracy |
|---|---|---|---|---|
Banana leaves37 | CNN with fuzzy C-means Segmentation | Real-field Images | Sensitivity, accuracy | 93.45 |
Tomato leaves38 | Region-based CNN | Real-field Images | Confusion Matrix, Average precision | 83.06 |
Gr ape leaves39 | CNN and Enhanced ANN | Plant Village Dataset | F1-score and Accuracy | 93.75 |
Tomato leaves40 | Fully CNN with segmentation network KijaniNet | Real conditioned dataset | F1-score, Mean accuracy | 98.46 |
Maize plant leaves41 | CNN-AlexNet | Plant Village Dataset | Accuracy | 99.16 |
Tomato leaves42 | CNN | Plant Village Dataset | Accuracy, precision, recall, F1-score | 91.2 |
Multiple types43 | GoogLeNet, VGG16, Inception V3 | Plant Village Dataset | Accuracy | 98 |
Tomato leaves44 | CNN models | Labo & field datasets | F1-score, Recall, Accuracy, Precision | 99.6 |
Tomato leaves45 | CNN with attention Technique | Plant Village Dataset | Accuracy | 98 |
Arabidopsis plants46 | Shallow CNN & Canny edge detector | Aberystwyth leaf evaluation dataset | DIC, FBD, SBD | 95 |
Tomato leaves47 | ResNet and U-Net | Plant Village Dataset | Accuracy | 94 |
Multicrops48 | ResNet50 | Real-field Images | Accuracy | 98 |
Tomato leaves49 | DNN, PCA-whale optimization | Plant Village Dataset | Loss rate, Accuracy | 86 |
Multiple plants | CNN | Plant Village Dataset | Accuracy | 96.5 |
Tomato leaves51 | ResNet50 | Plant Village Dataset | Accuracy | 97 |
Different plants52 | CNN-AlexNet | Open dataset | Success rate | 99.53 |
Tomato leaves53 | CNN-AlexNet, | Plant Village Dataset | Accuracy, recall, F1-score | 93.40, |
Mix crop leaves54 | CNN-AlexNet with PSO optimization | Real-field Images | Accuracy, Sensitivity, Precision, Specificity, F1-score | 98.83 |
Rice Blast Disease55 | Softmax CNN | Open dataset | Accuracy | 95 |
Rice Diseases Detection56 | CNN | Open dataset | Accuracy | 95 |
