Assessing Wheat Frost Risk with the Support of GIS: An Approach Coupling a Growing Season Meteorological Index and a Hybrid Fuzzy Neural Network Model

Assessing Wheat Frost Risk with the Support of GIS: An Approach Coupling a Growing Season Meteorological Index and a Hybrid Fuzzy Neural Network Model

Crop frost, one kind of agro-meteorological disaster, often causes significant loss to agriculture. Thus, evaluating the risk of wheat frost aids scientific response to such disasters, which will ultimately promote food security. Therefore, this paper aims to propose an integrated risk assessment mo...

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Bibliographic Details
Main Authors: Yaojie Yue, Yao Zhou, Jing’ai Wang, Xinyue Ye
Format: Article
Language:English
Published: MDPI AG 2016-12-01
Series:Sustainability
Subjects:
frost disaster
risk assessment
vulnerability curve
wheat
growth stage
threshold temperature
information diffusion
hybrid fuzzy neural network model
China
Online Access:http://www.mdpi.com/2071-1050/8/12/1308

Internet

http://www.mdpi.com/2071-1050/8/12/1308

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