EasyPCC_V2 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. Collecting Training data there are different options to collect training data: Ways introduced at this paper EasyPCC. A JS code collecting training data faster collectTrainJS. Contributor Wei GUO (Software design and core algorithm) Laure FOURQUET (Python code and GUI interface ) Atsushi ITO (Transfered to exe, JS software) Maintainers 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.

The original repository of this dataset is in GitHub, athttps://github.com/oceam/EasyPCC_V2 We have published the data into zenodo to preserve from accidental removal.