Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments

Combining Crop Models and Remote Sensing for Yield Prediction: Concepts, Applications and Challenges for Heterogeneous Smallholder Environments

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Main Authors: Hoefsloot P, Ines, Amor V.M., Dam, Jos C. van, Duveiller, Gregory, Kayitakire, Francois, Hansen, James
Published: 2013-01-25T16:06:18Z
Online Access:https://hdl.handle.net/10568/25135
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spelling dig-cgspace-10568-251352024-01-17T12:58:34Z 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 2013-01-25T16:06:18Z 2013-01-25T16:06:18Z https://hdl.handle.net/10568/25135 application/pdf
institution CGIAR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cgspace
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CGIAR
author Hoefsloot P
Ines, Amor V.M.
Dam, Jos C. van
Duveiller, Gregory
Kayitakire, Francois
Hansen, James
spellingShingle 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
author_facet Hoefsloot P
Ines, Amor V.M.
Dam, Jos C. van
Duveiller, Gregory
Kayitakire, Francois
Hansen, James
author_sort Hoefsloot P
title 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_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_sort combining crop models and remote sensing for yield prediction: concepts, applications and challenges for heterogeneous smallholder environments
publishDate 2013-01-25T16:06:18Z
url https://hdl.handle.net/10568/25135
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AT damjoscvan combiningcropmodelsandremotesensingforyieldpredictionconceptsapplicationsandchallengesforheterogeneoussmallholderenvironments
AT duveillergregory combiningcropmodelsandremotesensingforyieldpredictionconceptsapplicationsandchallengesforheterogeneoussmallholderenvironments
AT kayitakirefrancois combiningcropmodelsandremotesensingforyieldpredictionconceptsapplicationsandchallengesforheterogeneoussmallholderenvironments
AT hansenjames combiningcropmodelsandremotesensingforyieldpredictionconceptsapplicationsandchallengesforheterogeneoussmallholderenvironments
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