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...

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Main Authors: Hoefsloot P, Ines, Amor V.M., Dam, Jos C. van, Duveiller, Gregory, Kayitakire, Francois, Hansen, James
Format: Informe técnico
Language:Inglés
Published: 2012
Subjects:
Online Access:https://hdl.handle.net/10568/25135
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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.
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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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