English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Journal Article

Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models

MPS-Authors
/persons/resource/persons204319

Nair,  Richard
Soil Processes, Dr. Marion Schrumpf, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

External Resource
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

BGC4386.pdf
(Publisher version), 2MB

Supplementary Material (public)

BGC4386s1.zip
(Supplementary material), 2MB

Citation

Baykalov, P., Bussmann, B., Nair, R., Smith, A. G., Bodner, G., Hadar, O., et al. (2023). Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models. Plant Methods, 19: 122. doi:10.1186/s13007-023-01101-2.


Cite as: https://hdl.handle.net/21.11116/0000-000D-E173-3
Abstract
There is no abstract available