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Estimation of Crop Yield Distribution: Implication for Crop Engineering Risk

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2012 English Publisher:Elsevier BVJournal:Systems Engineering Procedia, volume 3, pages 132-138 (issn: 2211-3819,

Authors: Shen Zeliang; Qian Zhen-wei; Li Yun-Xian; Wang Xiang; Wang Xiang;

doi: 10.1016/j.sepro.2011.11.018

Estimation of Crop Yield Distribution: Implication for Crop Engineering Risk

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Abstract

AbstractIn this paper we use parametric and nonparametric density estimation procedures to evaluate crop yield distributions in Yunnan province. Akaike Information Criterion (AIC) is used to select a proper crop yield distribution. Maximum likelihood methods are explored to obtain reliable estimates. Furthermore, we propose a standard measure of crop engineering risk that is based on the expected loss of crop yield. Four major crops in Yunnan province based on pooled data over the period 1952-2009 are studied, and crop risks are analyzed.

Related Organizations

Wuhan Polytechnic University
China (People's Republic of)
Wuhan University of Technology
China (People's Republic of)
Wuchang University of Technology
China (People's Republic of)
Yunnan University of Finance And Economics
China (People's Republic of)
Wuhan University of Technology
China (People's Republic of)

Keywords

Crop engineering risk, AIC, Yield distribution, Model selection, Maximum likelihood estimation

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