Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images

@inproceedings{Pape2015UtilizingML,
  title={Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images},
  author={J. Pape and Christian Klukas},
  year={2015}
}
The segmentation of individual leaves in plant images is still a challenging task, especially in case of leaf overlaps. The exact determination of individual leaf areas could improve the biomass estimation which is a good indicator for plant performance. In addition, the number of leaves is directly related to plant development, leaf counts give insight into changing plant development stages. Machine learning is a powerful tool in vision tasks. Here we propose an approach including image… CONTINUE READING
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