Deep learning approach for plant leaf detection

Abstract

There are several sorts of trees in the natural environment, and it tends to be hard to recognize them. Botanists and the individuals who study plants anyway can distinguish the sort of tree initially by utilizing the characteristics of the leaf. Machine learning is utilized to automatically classify leaf types. Concentrated widely in 2012, this is a quickly developing field dependent on profound learning. Profound learning is itself a self-learning method utilized on a lot of information, and late improvements in equipment and huge information have made this strategy increasingly down to earth. We propose a classify leaves using the CNN model, which is often used when applying deep learning to image processing.