Seasonal key point based crop prediction; an evaluation of spring wheat in North Dakota and the Canadian prairie, and cocoa in Ivory Coast

A pilot study linking precipitation to price changes

Master Thesis (2017)
Author(s)

J.A.A. Hogewoning (TU Delft - Civil Engineering & Geosciences)

Contributor(s)

Nick van de van de Giesen – Graduation committee member

M. M. Rutten – Mentor

Jos S. Timmermans – Graduation committee member

Faculty
Civil Engineering & Geosciences
Copyright
© 2017 Jacob Hogewoning
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 Jacob Hogewoning
Graduation Date
15-06-2017
Awarding Institution
Delft University of Technology
Faculty
Civil Engineering & Geosciences
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Abstract

The main objective for the research is the development of a comprehensive and easily accessible method assessing the price changes of wheat and cocoa by predicting change in wheat and cocoa production using season key point in the growing season of wheat and cocoa and open precipitation data from ground based weather stations only. The found results are assessed towards their impact on the movement of wheat and cocoa prices.

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