Table 2.
Examples of deep learning architectures applied in plant phenotyping using transfer learning.
| Deep Learning Architecture | Application | Plant | Reference |
|---|---|---|---|
| AlexNet, ZFNet, VGG-16, GoogLeNet, ResNet-50, ResNet-101, ResNetXt-101 | Identification of biotic and abiotic stress | Tomato | [49] |
| VGG-16, VGG-19 | Semantic segmentation of crops and weeds | Oilseed rape | [50] |
| Xception net, Inception-ResNet, DenseNet | Weed identification | Black Nightshade | [51] |
| GoogLeNet | Plant disease classification | A group of 12 plant species | [52] |
| VGG-16, VGG-19, Inception-v3, ResNt50 | Classification of biotic stress | Apple | [53] |
| YOLOv3 | Leaf counting | Arabidopsis | [54] |