@article{fdi:010061330,
  title = {{IJ}_{R}hizo : an open-source software to measure scanned images of root samples},
  author = {{P}ierret, {A}lain and {G}onkhamdee, {S}. and {J}ourdan, {C}. and {M}aeght, {J}ean-{L}uc},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper provides an overview of the measuring capabilities of {IJ}_{R}hizo, an {I}mage{J} macro that measures scanned images of washed root samples. {IJ}_{R}hizo is open-source, platform-independent and offers a simple graphic user interface ({GUI}) for a main audience of non-programmer scientists. {B}eing open-source based, it is also fully modifiable to accommodate the specific needs of the more computer-literate users. {A} comparison of {IJ}_{R}hizo's performance with that of the widely used commercial package {W}in{RHIZO} ({TM}) is discussed. {W}e compared {IJ}_{R}hizo's performance with that of the commercial package {W}in{RHIZO} ({TM}) using two sets of images, one comprising test-line images, the second consisting of images of root samples collected in the field. {IJ}_{R}hizo and {W}in{RHIZO} ({TM}) estimates were compared by means of correlation and regression analysis. {IJ}_{R}hizo "{K}imura" and {W}in{RHIZO} ({TM}) "{T}ennant" were the length estimates that were best linearly correlated with each other. {C}orrelation between average root diameter estimates was weaker, due to the sensitivity of this parameter to thresholding and filtering of image background noise. {O}verall, {IJ}_{R}hizo offers new opportunities for researchers who cannot afford the cost of commercial software packages to carry out automated measurement of scanned images of root samples, without sacrificing accuracy.},
  keywords = {{R}oot length ; {R}oot washing ; {I}mage analysis ; {O}pen-source ; {W}inrhizo},
  booktitle = {},
  journal = {{P}lant and {S}oil},
  volume = {373},
  numero = {1-2},
  pages = {531--539},
  ISSN = {0032-079{X}},
  year = {2013},
  DOI = {10.1007/s11104-013-1795-9},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061330},
}