Existing models review

[pankhurivanjani]

1. DeepLearning_PlantDiseases

2. Plant disease detection with machine learning

3. Using Deep Learning for Image-Based Plant Disease Detection

4. Using Deep Learning for Image-Based Plant Disease Detection

[nik1806]

CLASSIFICATION OF VARIOUS PLANT DISEASES USING DEEP SIAMESE NETWORK.

Some key takeaways:

• Plant Village is more like an artificial dataset because of capturing in a constrained environment.
• PlantDoc is more realistic.
• Model trained on PlantVillage dataset (with the accuracy of ~99%) performed very poorly on PlantDoc (~36%).
• Normally deep learning methods perform poorly with a smaller dataset. (The case with PlantDoc is same).
• Two DL methods were used, namely, transfer learning and siamese network. The Siamese network performed well.

This paper has the potential to be used as a comparison for our work.

[nik1806]

@pankhurivanjani Please refere to this to understand EfficientNet: https://amaarora.github.io/2020/08/13/efficientnet.html

[nik1806]

@pankhurivanjani Please first refer to the following article: https://towardsdatascience.com/from-lenet-to-efficientnet-the-evolution-of-cnns-3a57eb34672f. (This will give a bigger view of CNN development). Then you can proceed to

@pankhurivanjani Please refere to this to understand EfficientNet: https://amaarora.github.io/2020/08/13/efficientnet.html

[pankhurivanjani]

https://www.researchgate.net/publication/334314928_Image_Processing_Techniques_for_Detecting_and_Classification_of_Plant_Disease_A_Review

This paper could be useful for us