Institute for Sustainable Agro-ecosystem Services @ University of Tokyo
|Operating system||mac, windows, linux, matlab|
|Other information||requires matlab to run|
Success: Citation data updated from CrossRef.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
Other tools for the analysis of canopy:
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