Using prevalent CNN to classify 4 class of Wheat Leaf Disease(Brown rust,Healthy,Septoria,Yello rust).
https://drive.google.com/file/d/1dtoVdpNf-v6__dmSy3lUpLYKoCOhEYUw/view?usp=drive_link
For free product by Google Colab
https://www.mdpi.com/2072-4292/14/14/3446
AlexNet 217.5149078 MB
VGG11 491.2881012 MB
GoogleNet 21.37757874 MB
ResNet18 42.64283752 MB
DenseNet121 26.54249573 MB
EfficientNet_b7 243.3670197 MB
MobilenetV3Large 16.23838806 MB
AlexNet 109.667897 second
VGG11 161.1042612 second
GoogleNet 140.4423647 second
ResNet18 122.6961145 second
DenseNet121 311.7152424 second
EfficientNet_b7 537.789294 second
MobilenetV3Large 132.0254643 second
AlexNet 95.1923077%
VGG11 96.6346154%
GoogleNet 92.7884615%
ResNet18 94.7115385%
DenseNet121 96.3942308%
EfficientNet_b7 92.3076923%
MobilenetV3Large 96.0336538%
All the above results were obtained with the pre-trained model
1.cropImg.py
2.wheatLeafDisease_delineation.py
3.wheatLeafDiesas.ipynb
Note:Keep datasets and programs in the same directory