Deep phenotyping: deep learning for temporal phenotype/genotype classification

@inproceedings{Namin2018DeepPD,
  title={Deep phenotyping: deep learning for temporal phenotype/genotype classification},
  author={Sarah Taghavi Namin and Mohammad Esmaeilzadeh and Mohammad Najafi and Tim B Brown and Justin O. Borevitz},
  booktitle={Plant Methods},
  year={2018}
}
High resolution and high throughput genotype to phenotype studies in plants are underway to accelerate breeding of climate ready crops. In the recent years, deep learning techniques and in particular Convolutional Neural Networks (CNNs), Recurrent Neural Networks and Long-Short Term Memories (LSTMs), have shown great success in visual data recognition, classification, and sequence learning tasks. More recently, CNNs have been used for plant classification and phenotyping, using individual… CONTINUE READING
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