# papers

This paper studies convolutional neural networks (CNN) to learn unsupervised feature representations for 44 different plant species, collected at the Royal Botanic Gardens, Kew, England.

Multi-Layer Perceptron (MLP) artificial neural network trained with Backpropagation algorithm to perform automatic plant classification

A CLASSIFICATION OF PLANT SPECIES USING GOOGLENET

There are the links of papers using hybrid machine learning approaches for plant classifiction.