Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments
JRC, CCAFS jointly sponsored the workshop on June 13-14, 2012, at the JRC in Ispra, Italy, to identify avenues for exploiting remote sensing information to improving crop forecasting in smallholder farming environments. The workshop’s objectives were: 1) To advance the state-of-knowledge of data ass...
| Main Authors: | , , , , , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
2012
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/25135 |
| _version_ | 1855532519771865088 |
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| author | Hoefsloot P Ines, Amor V.M. Dam, Jos C. van Duveiller, Gregory Kayitakire, Francois Hansen, James |
| author_browse | Dam, Jos C. van Duveiller, Gregory Hansen, James Hoefsloot P Ines, Amor V.M. Kayitakire, Francois |
| author_facet | Hoefsloot P Ines, Amor V.M. Dam, Jos C. van Duveiller, Gregory Kayitakire, Francois Hansen, James |
| author_sort | Hoefsloot P |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | JRC, CCAFS jointly sponsored the workshop on June 13-14, 2012, at the JRC in Ispra, Italy, to identify avenues for exploiting remote sensing information to improving crop forecasting in smallholder farming environments. The workshop’s objectives were:
1) To advance the state-of-knowledge of data assimilation for crop yield forecasting; 2) To address challenges and needs for successful applications of data assimilation in forecasting crop yields in heterogeneous, smallholder environments; and, 3) To enhance collaboration and exchange of knowledge among data assimilation and crop forecasting
groups.
The workshop succeeded in bringing together scientists from around the world. This has enabled discussions on research and results and has greatly enhanced collaboration and exchange of knowledge, especially about data assimilation and crop forecasting. |
| format | Informe técnico |
| id | CGSpace25135 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2012 |
| publishDateRange | 2012 |
| publishDateSort | 2012 |
| record_format | dspace |
| spelling | CGSpace251352024-01-17T12:58:34Z Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments Hoefsloot P Ines, Amor V.M. Dam, Jos C. van Duveiller, Gregory Kayitakire, Francois Hansen, James crop modelling climate remote sensing smallholders crop yield yield forecasting food security JRC, CCAFS jointly sponsored the workshop on June 13-14, 2012, at the JRC in Ispra, Italy, to identify avenues for exploiting remote sensing information to improving crop forecasting in smallholder farming environments. The workshop’s objectives were: 1) To advance the state-of-knowledge of data assimilation for crop yield forecasting; 2) To address challenges and needs for successful applications of data assimilation in forecasting crop yields in heterogeneous, smallholder environments; and, 3) To enhance collaboration and exchange of knowledge among data assimilation and crop forecasting groups. The workshop succeeded in bringing together scientists from around the world. This has enabled discussions on research and results and has greatly enhanced collaboration and exchange of knowledge, especially about data assimilation and crop forecasting. 2012-11 2013-01-25T16:06:18Z 2013-01-25T16:06:18Z Report https://hdl.handle.net/10568/25135 en Open Access application/pdf Hoefsloot P, Ines A, van Dam J, Duveiller G, Kayitakire F, Hansen J. 2012. Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments. Report of CCFAS-JRC Workshop at Joint Research Centre, Ispra, Italy, June 13-14, 2012. Joint Research Center Technical Report. Luxembourg: Publications Office of the European Union. |
| spellingShingle | crop modelling climate remote sensing smallholders crop yield yield forecasting food security Hoefsloot P Ines, Amor V.M. Dam, Jos C. van Duveiller, Gregory Kayitakire, Francois Hansen, James Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments |
| title | Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments |
| title_full | Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments |
| title_fullStr | Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments |
| title_full_unstemmed | Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments |
| title_short | Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments |
| title_sort | combining crop models and remote sensing for yield prediction concepts applications and challenges for heterogeneous smallholder environments |
| topic | crop modelling climate remote sensing smallholders crop yield yield forecasting food security |
| url | https://hdl.handle.net/10568/25135 |
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