Forecasting wheat and barley crop production in arid and semi-arid regions using remotely sensed primary productivity and crop phenology: A case study in Iraq-Reference-Cited by-同舟云学术

Forecasting wheat and barley crop production in arid and semi-arid regions using remotely sensed primary productivity and crop phenology: A case study in Iraq

Published:2018-02 Issue: Volume:613-614 Page:250-262
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Qader Sarchil Hama,Dash Jadunandan,Atkinson Peter M.

Funder

Ministry of Higher Education, Malaysia

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference73 articles.

1. Extension education for dryland cropping systems in Iraq;Abi-Ghanem;J. Nat. Resour.Life Sci. Educ.,2009

2. Teleconnected food supply shocks;d'Amour;Environ. Res. Lett.,2016

3. WheatPot: a simple model for spring wheat yield potential using monthly weather data;Andarzian;Biosyst. Eng.,2008

4. Empirical regression models using NDVI, rainfall and temperature data for the early prediction of wheat grain yields in Morocco;Balaghi;Int. J. Appl. Earth Obs. Geoinf.,2008

5. Arid lands: challenges and hopes;Barakat,2009

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