I’m working on a hyperspectral dataset of cabbage crops for nitrogen deficiency detection. The dataset has 3 classes: Healthy Mild nitrogen stress Severe nitrogen stress I’m trying to use self-supervised learning (SSL) for representation learning and then fine-tune for classification. What I’ve done