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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages90-103
Number of pages14
Volume582
ISBN (Print)9783319295886
DOIs
Publication statusPublished - 2016
Event1st International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2015 - Barcelona, Spain
Duration: Apr 28 2015Apr 30 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume582
ISSN (Print)21945357

Other

Other1st International Conference on Geographical Information Systems Theory, Applications and Management, GISTAM 2015
CountrySpain
CityBarcelona
Period4/28/154/30/15

Fingerprint

Seed
Information systems
Soils
Arid regions
Water
Temperature

Keywords

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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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 Advances in Intelligent Systems and Computing (Vol. 582, 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.; Al-Busaidi, H.; Al-Belushi, M.

Advances in Intelligent Systems and Computing. Vol. 582 Springer Verlag, 2016. p. 90-103 (Advances in Intelligent Systems and Computing; Vol. 582).

Research output: Chapter in Book/Report/Conference proceedingConference 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 Advances in Intelligent Systems and Computing. vol. 582, 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 Advances in Intelligent Systems and Computing. Vol. 582. Springer Verlag. 2016. p. 90-103. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-29589-3_6
Al-Habsi, R. ; Al-Mulla, Y. A. ; Charabi, Y. ; Al-Busaidi, H. ; Al-Belushi, M. / Validation and integration of wheat seed emergence prediction model with GIS and numerical weather prediction models. Advances in Intelligent Systems and Computing. Vol. 582 Springer Verlag, 2016. pp. 90-103 (Advances in Intelligent Systems and Computing).
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