Institute for Sustainable Agro-ecosystem Services @ University of Tokyo
|Operating system||mac, windows, linux, matlab|
|Other information||requires matlab to run|
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
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