EasyPCC
Institute for Sustainable Agro-ecosystem Services @ University of Tokyo
Overview
| Measured variables | surface |
|---|---|
| Operating system | mac, windows, linux, matlab |
| Licence | open-source, freeware |
| Automation level | automated |
| Plant requirements | any |
| Export formats | csv |
| Other information | requires matlab to run |
Scientific article(s)
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EasyPCC: Benchmark Datasets and Tools for High-Throughput Measurement of the Plant Canopy Coverage Ratio under Field ConditionsWei Guo, Bangyou Zheng, Tao Duan, Tokihiro Fukatsu, Scott Chapman, Seishi NinomiyaSensors, 2017
View paper
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Description
EasyPCC is a tool for effective and accurate evaluation of the ground coverage ratio from a large number of images under variable field conditions. The core algorithm of EasyPCC is based on a pixel-based segmentation method using a decision-tree-based segmentation model (DTSM). EasyPCC was developed under the MATLAB® and R languages; thus, it could be implemented in high-performance computing to handle large numbers of images following just a single model training process.
Source: Sensors website