Easy Plant Phenotyping Tool for both indoor and outdoor use.

if　useful, please cite the paper below:
Guo, W., et al. (2013).Illumination invariant segmentation of vegetation for time series wheat images based on decision tree model. Computers and Electronics in Agriculture, 96, 58-66.link.
Guo, W., et al. (2017).EasyPCC: Benchmark datasets and tools for high-throughput measurement of plant canopy coverage ratio under field conditions. Sensors (Basel), 17(4), 798. link.

more details on how to install and run EasyPCC_v2 with Python, check howToInstall and howToUse You can also easyliy download executable program for windows (requires to fill a form): EasyPCC_V2.exe

Note that run EasyPCC_V2.exe do not require you install any python packages.

there are different options to collect training data:

1. Ways introduced at this paper EasyPCC.
2. A JS code collecting training data faster collectTrainJS.

Wei GUO (Software design and core algorithm)
Laure FOURQUET (Python code and GUI interface )
Atsushi ITO (Transfered to exe, JS software)

Wei GUO (Oceam), 東京大学国際フィールドフェノミクス研究拠点
International Field Phenomics Research Laboratory, The University of Tokyo, Tokyo, Japan