Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models

R. Al-Habsi; Y. A. Al-Mulla; Y. Charabi; H. Al-Busaidi; M. Al-Belushi

doi:10.1007/978-3-319-29589-3_6

Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models

R. Al-Habsi, Y. A. Al-Mulla^*, Y. Charabi, H. Al-Busaidi, M. Al-Belushi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

The main factors affecting wheat emergence are climatic condition, soil properties and planting depth. Time and percentage of the wheat emergence depend on the interaction between above factors which can be predicted by using wheat simulation model (WSM). WSM is based on three main factors which are soil water potential, soil temperature and planting depth. The general objective of this study was to delineate the best location for wheat production in arid regions such as Oman through linking Wheat Simulation Model (WSM) with Numeric Weather Prediction Model (NWPM) in the platform of the Geographical Information Systems (GIS). Soil temperature and water potential raster layers which were obtained from NWPM were analyzed using spatial analysis tools in ESRI ArcGIS software. Four field trials, over two seasons, have validated positively the linkage of the developed WSM with GIS. The developed model can be promoted as a tool for decision makers to delineate the best location for wheat production in arid regions.

Original language	English
Title of host publication	Geographical Information Systems Theory, Applications and Management - 1st International Conference, GISTAM 2015, Revised Selected Papers
Editors	Cédric Grueau, Jorge Gustavo Rocha
Publisher	Springer Verlag
Pages	90-103
Number of pages	14
ISBN (Print)	9783319295886
DOIs	https://doi.org/10.1007/978-3-319-29589-3_6
Publication status	Published - 2016
Event	1st International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2015 - Barcelona, Spain Duration: Apr 28 2015 → Apr 30 2015

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	582
ISSN (Print)	2194-5357

Other

Other	1st International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2015
Country/Territory	Spain
City	Barcelona
Period	4/28/15 → 4/30/15

Keywords

Arid regions
Emergence
Geographic information system
Numeric weather prediction model
Simulation model
Wheat

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-319-29589-3_6

Cite this

Al-Habsi, R., Al-Mulla, Y. A., Charabi, Y., Al-Busaidi, H., & Al-Belushi, M. (2016). Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models. In C. Grueau, & J. G. Rocha (Eds.), Geographical Information Systems Theory, Applications and Management - 1st International Conference, GISTAM 2015, Revised Selected Papers (pp. 90-103). (Advances in Intelligent Systems and Computing; Vol. 582). Springer Verlag. https://doi.org/10.1007/978-3-319-29589-3_6

Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models. / Al-Habsi, R.; Al-Mulla, Y. A.; Charabi, Y. et al.
Geographical Information Systems Theory, Applications and Management - 1st International Conference, GISTAM 2015, Revised Selected Papers. ed. / Cédric Grueau; Jorge Gustavo Rocha. Springer Verlag, 2016. p. 90-103 (Advances in Intelligent Systems and Computing; Vol. 582).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Al-Habsi, R, Al-Mulla, YA , Charabi, Y, Al-Busaidi, H & Al-Belushi, M 2016, Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models. in C Grueau & JG Rocha (eds), Geographical Information Systems Theory, Applications and Management - 1st International Conference, GISTAM 2015, Revised Selected Papers. Advances in Intelligent Systems and Computing, vol. 582, Springer Verlag, pp. 90-103, 1st International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2015, Barcelona, Spain, 4/28/15. https://doi.org/10.1007/978-3-319-29589-3_6

Al-Habsi R, Al-Mulla YA , Charabi Y, Al-Busaidi H, Al-Belushi M. Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models. In Grueau C, Rocha JG, editors, Geographical Information Systems Theory, Applications and Management - 1st International Conference, GISTAM 2015, Revised Selected Papers. Springer Verlag. 2016. p. 90-103. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-29589-3_6

Al-Habsi, R. ; Al-Mulla, Y. A. ; Charabi, Y. et al. / Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models. Geographical Information Systems Theory, Applications and Management - 1st International Conference, GISTAM 2015, Revised Selected Papers. editor / Cédric Grueau ; Jorge Gustavo Rocha. Springer Verlag, 2016. pp. 90-103 (Advances in Intelligent Systems and Computing).

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keywords = "Arid regions, Emergence, Geographic information system, Numeric weather prediction model, Simulation model, Wheat",

author = "R. Al-Habsi and Al-Mulla, {Y. A.} and Y. Charabi and H. Al-Busaidi and M. Al-Belushi",

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AU - Al-Mulla, Y. A.

AU - Charabi, Y.

AU - Al-Busaidi, H.

AU - Al-Belushi, M.

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

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Y1 - 2016

N2 - The main factors affecting wheat emergence are climatic condition, soil properties and planting depth. Time and percentage of the wheat emergence depend on the interaction between above factors which can be predicted by using wheat simulation model (WSM). WSM is based on three main factors which are soil water potential, soil temperature and planting depth. The general objective of this study was to delineate the best location for wheat production in arid regions such as Oman through linking Wheat Simulation Model (WSM) with Numeric Weather Prediction Model (NWPM) in the platform of the Geographical Information Systems (GIS). Soil temperature and water potential raster layers which were obtained from NWPM were analyzed using spatial analysis tools in ESRI ArcGIS software. Four field trials, over two seasons, have validated positively the linkage of the developed WSM with GIS. The developed model can be promoted as a tool for decision makers to delineate the best location for wheat production in arid regions.

AB - The main factors affecting wheat emergence are climatic condition, soil properties and planting depth. Time and percentage of the wheat emergence depend on the interaction between above factors which can be predicted by using wheat simulation model (WSM). WSM is based on three main factors which are soil water potential, soil temperature and planting depth. The general objective of this study was to delineate the best location for wheat production in arid regions such as Oman through linking Wheat Simulation Model (WSM) with Numeric Weather Prediction Model (NWPM) in the platform of the Geographical Information Systems (GIS). Soil temperature and water potential raster layers which were obtained from NWPM were analyzed using spatial analysis tools in ESRI ArcGIS software. Four field trials, over two seasons, have validated positively the linkage of the developed WSM with GIS. The developed model can be promoted as a tool for decision makers to delineate the best location for wheat production in arid regions.

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Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models

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