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6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007)
A Procedural Approach to Forecasting Nocturnal Air Temperature for Frost Prediction
Melbourne, Australia
July 11-July 13
ISBN: 0-7695-2841-4
ASCII Text
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Megan Woods, Iqbal Gondal, "A Procedural Approach to Forecasting Nocturnal Air Temperature for Frost Prediction," Computer and Information Science, ACIS International Conference on, pp. 412-418, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007.
 
 
BibTex
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@article{ 10.1109/ICIS.2007.42,
author = {Megan Woods and Iqbal Gondal},
title = {A Procedural Approach to Forecasting Nocturnal Air Temperature for Frost Prediction},
journal ={Computer and Information Science, ACIS International Conference on},
volume = {0},
year = {2007},
isbn = {0-7695-2841-4},
pages = {412-418},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICIS.2007.42},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Information Science, ACIS International Conference on
TI - A Procedural Approach to Forecasting Nocturnal Air Temperature for Frost Prediction
SN - 0-7695-2841-4
SP412
EP418
A1 - Megan Woods,
A1 - Iqbal Gondal,
PY - 2007
KW - Fuzzy logic
KW - frost prediction
KW - dynamic regression models.
VL - 0
JA - Computer and Information Science, ACIS International Conference on
ER -
 
Megan Woods, Monash University, Australia
Iqbal Gondal, Monash University, Australia
Accurate forecasting of nocturnal air temperatures for frost prediction can lead to the development of effective strategies for damage reduction to the crops due to seasonal frost formation. A Real-time forecasting system must be able to run on low power computing machines and must be able to be deployed in the field where sight specific historic meteorological observations may not be available. This paper presents a procedural approach to forecast nocturnal air temperature for frost prediction using fuzzy matching to extrapolate regression function structural parameters from limited historical data. The paper also presents a case study of frost formation in Shepparton, Australia.
Index Terms:
Fuzzy logic, frost prediction, dynamic regression models.
Citation:
Megan Woods, Iqbal Gondal, "A Procedural Approach to Forecasting Nocturnal Air Temperature for Frost Prediction," icis, pp.412-418, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007
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