Published June 4, 2020 | Version v1
Software Open

Easy Plant Phenotyping Tool for both indoor and outdoor use

Description

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:

  1. Ways introduced at this paper EasyPCC.
  2. 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.

Notes

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.

Files

EasyPCC_V2.zip

Files (2.2 MB)

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md5:75d30e5a982b4e1b2e410b0886eed6c8
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Additional details

Related works

Is cited by
Journal article: 10.1016/j.compag.2013.04.010 (DOI)
Is identical to
Software: https://github.com/oceam/EasyPCC_V2/ (URL)