Published February 1, 2017 | Version v1
Dataset Open

An evaluation of inexpensive methods for root image acquisition when using rhizotrons

  • 1. University of Montpellier, UMR AMAP Montpellier
  • 2. INRA, UMR AMAP Montpellier
  • 3. Earth and Life Institute, Université catholique de Louvain, 1348 Louvain-la-Neuve, Belgium; 3Agrosphere-IBG3, Forschungszentrum Juelich GmbH, 52428 Juelich, Germany
  • 4. iEES-Paris (IRD, Sorbonne Universités, UPMC Univ Paris 06, CNRS, INRA, UPEC, Université Paris Diderot), Soils and Fertilizers Research Institute (SFRI), Duc Thang Ward, Bac Tu Liem District, Hanoi, Vietnam

Description

Dataset presenting the root data analysis performed in the paper:

An evaluation of inexpensive methods for root image acquisition when using rhizotrons

1Awaz Mohamed*, 1Yogan Monnier, 1Zhun Mao, 2,3Guillaume Lobet, 4Jean-Luc Maeght, 1Merlin Ramel, 1Alexia Stokes

The dataset contains:
Images examples_LaboratoryTest.7z: original images from laboratory rhizotron test including examples of images from camera, smartphone and scanners methods before and after image stitching (Test1)
Images examples in situ rhizotron.7z: original images of roots system from in situ rhizotron (Test2)
Day&night root growth by Camera.7z: original images of root growth monitored by time-lapse camera using in situ rhizotron (Test3).
Root_data.CSV.7z: Root data exported from SmartRoot and used for analysis in R
Root_Data_Analysis.R.7z: R scripts used for root data analysis

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