| 1. | Amrita A. Joshi et al. [10] | a).Shapeb).Color | KNN and MDC | Rice | Bacterial blight, Blast, Brown spot and sheath rot | KNN(87.02%) and MDC (89.23%) |
| 2. | SantanuPhadikar et al. [4] | a).Boundaryb). Edgec). Spot | Self organizing map (SOM) | Rice | Leaf Blast, Brown spot | 1)RGB spots(92%)2)Fourier transform of spot(84%)3)Arbitrary rotation of the 50% spot(82%)4)Fourier transform of the 50% rotating spots(70%) |
| 3. | Qing Yao et al. [12] | a).Shapeb).Texture | SVM | -do- | Bacterial blight, sheath blight and rice blast | 85.2% |
| 4. | R.P.Narmadha et al.[1] | a).Shapeb).Color | K-means clustering, SVM, Artificial Neural Network [ANN]And Fuzzy Classifications | Paddy leaf | Blast Disease (BD), Brown spot Disease (BPD), Narrow Brown spot disease (NBSD) | ---- |
| 5. | Sandesh Raut et al. [2] | a).Colorb).Texturec).Morphologyd).Structure | k-mean clustering and SVM algorithm | Leaf and Fruit | ----- | ----- |
| 6. | Rajneet Kaur et al.[3] | a).Shapeb).Color | SVM and KNN | Cotton | ----- | KNN has higher accuracy then SVM |
| 7. | AshwaniAwate et al.[13] | a).Colorb).Texturec).Morphology | SURF and ANN | Grapes, Apple and pomegranate | Black Rot, Powdery Mildew, Downy Mildew, apple rot, Gray Mold | ------ |
| 8. | SantanuPhadikar et al. [11] | Morphological behavior of leaves based on disease | SVM and Bayes’ classifier | Rice | Leaf blast and Brown spot | SVM(68.1%)and Bayes’classifier(71.5%) |
| 9.. | Anthonys G. et al. [16] | a).Colorb).Texturec)Shape | SVM | Rice | rice blast, rice sheath blight and brown spot. | Achieve (70%) |
| 10. | Tian et al [9] | a).Colorb).Texturec)Shape | SVM and Ann | Rice | _______ | SVM obtained better result than Ann |