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Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

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Deep-Plant Code Release

Updated on August 14, 2018 (HGO-CNN is updated)

Updated on June 20, 2018 (added GRU-CFA)

Updated on May 15, 2018 (merge HGO-CNN & inc. PlantStructNet in Tensorflow)

Released on May 19, 2017

Description

This consists of the implementations of our

Feedback

Suggestions and opinions of this work (both positive and negative) are greatly welcome. Please contact the authors by sending email to adeline87lee at gmail.com or cs.chan at um.edu.my.

License

The project is open source under BSD-3 license (see the LICENSE file). Codes can be used freely only for academic purpose.

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Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.

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  • Python 91.5%
  • MATLAB 4.4%
  • Shell 4.1%