Reference:Reference-014336: Difference between revisions
From CSDMS
m (Text replacement - "|MS_PublicationClusterID=3128768500" to "|MS_PublicationClusterID=3128768500 |Semantic_ID=8b23becf96219c851ab0b8c28935cbe27cfe64a4
") |
m (Text replacement - " |Semantic_ID" to " |Semantic_ID") |
||
Line 15: | Line 15: | ||
|FeatureRef=No | |FeatureRef=No | ||
|PublicationClusterID=0 | |PublicationClusterID=0 | ||
|MS_PublicationClusterID=3128768500 |Semantic_ID=8b23becf96219c851ab0b8c28935cbe27cfe64a4 | |MS_PublicationClusterID=3128768500 | ||
|Semantic_ID=8b23becf96219c851ab0b8c28935cbe27cfe64a4 | |||
|PublicationWhatKindOf=a module application description | |PublicationWhatKindOf=a module application description | ||
|PublicationNrofModels=a single module | |PublicationNrofModels=a single module |
Latest revision as of 19:46, 9 January 2022
Author(s) | Chen, Qiaomin; Zheng, Bangyou; Chen, Tong; Chapman, Scott; |
BibType | report |
Title | Integration of APSIM and PROSAIL models to develop more precise radiometric estimation of crop traits using deep learning |
Editors | |
Year | 2021-02-03 |
Journal | bioRxiv |
Booktitle | |
Volume | |
Pages | 2021.02.02.429471 |
URL | http://biorxiv.org/lookup/doi/10.1101/2021.02.02.429471 |
DOI | 10.1101/2021.02.02.429471 |
ISBN | |
Note | Auto downloaded ref at: 2021-04-16
|
|
|
Feature reference | No |
PublicationClusterID | 0 |
MS_PublicationClusterID | 3128768500 |
Semantic_ID | 8b23becf96219c851ab0b8c28935cbe27cfe64a4 |
Nr of citations | 0 |
Sort of publication | a module application description |
Sort of model publication | a single module |
Is the CSDMS HPC used | No |
If HPC is used, for what project was it?: | |
Associated simulation movie if any: |
|
Model(s) discussed: | ApsimX |