It’s called transfer learning. The base layers of a model trained on imagenet are general enough that they’re helpful for the specific task of processing plants. The benefit is imagenet has much more training data which is why you’d train on that first and then fine-tune the model with your specific data. Fast.ai is a great beginner friendly resource.