We propose using a deep convolutional neural network (CNN) for the problem of plant identification from leaf vein patterns. In particular we consider classifying three different legume species: white bean, red bean and soybean. The introduction of a CNN avoids using handcrafted feature extractors as in state of the art pipeline. Furthermore, this deep learning approach significantly improves the accuracy of the referred pipeline. We also show that this accuracy is reached by increasing the depth of the model. Finally, by analyzing the resulting models with a simple visualization technique, we are able to discover which vein patterns are relevant.

10In this paper, a procedure for segmenting and classifying scanned legume leaves based only on the analysis of their veins is proposed (leaf shape, size, texture and color are discarded). Three legume species are studied, namely soybean, red and white beans. The leaf images are acquired using a standard scanner. The

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