Reference:Reference-009245
From CSDMS
| Author(s) | , ; | |
| BibType | journalArticle | |
| Title | Extraction of Rice Heavy Metal Stress Signal Features Based on Long Time Series Leaf Area Index Data Using Ensemble Empirical Mode Decomposition | |
| Editors | ||
| Year | 2017-09-06 | |
| Journal | International Journal of Environmental Research and Public Health | |
| Booktitle | ||
| Volume | 14 | |
| Pages | 1018 | |
| URL | http://www.mdpi.com/1660-4601/14/9/1018 | |
| DOI | 10.3390/ijerph14091018 | |
| ISBN | ||
| Note | Auto downloaded ref at: 2020-06-26
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| Highlighted paper on group site | ||
| Which groups | ||
| Feature reference | No | |
| PublicationClusterID | 0 | |
| MS_PublicationClusterID | 2752433190 | |
| Semantic_ID | e8e7e89c952c3926a381aac9be6f4882f448b5eb | |
| Nr of citations | 25 | |
| 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: |
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| Model(s) discussed: | WOFOST |
