SegRoot
Zhejiang University & Purdue University
Overview
| Measured variables | length |
|---|---|
| Operating system | windows, mac, linux |
| Licence | open-source, freeware |
| Automation level | automated |
| Plant requirements | any |
| Export formats | csv |
| Other information |
Scientific article(s)
SegRoot: A high throughput segmentation method for root image analysisTao Wang, Mina Rostamza, Zhihang Song, Liangju Wang, G. McNickle, Anjali S. Iyer-Pascuzzi, Zhengjun Qiu, Jian JinComputers and Electronics in Agriculture, 2019 View paper
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Description
SegRoot is a fully automated method based on convolutional neural networks, adapted for segmenting root from complex soil background. Our method eliminates the need for delicate feature designing which requires significant expert knowledge. The trained SegRoot networks learned morphological features with different abstraction levels directly from root images. Thus, the generalization and adaptation of the proposed method was expected across different root images.
Source: SegRoot paper