Applying extreme learning machine to plant species identification

In this paper, a recently developed machine learning algorithm referred to as the extreme learning machine (ELM) is used to classify plant species through plant leaf Gabor texture feature. A comparative study on system performance is conducted between ELM and the main conventional neural network classifier - backpropagation neural networks. Results show that the classification accuracy of ELM is higher than that of BP network. For given network architecture, ELM does not have any control parameters (i.e, stopping criteria, learning rate, learning epoches, etc.) to be manually tuned and can be implemented easily.