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Towards a reliable evaluation of forecasting systems for plant diseases: a case study of Fusarium head blight

Sofie Landschoot UGent, Willem Waegeman UGent, Kris Audenaert UGent, Judith Vandepitte UGent, Geert Haesaert UGent and Bernard De Baets UGent (2012) PLANT DISEASE. 96(6). p.889-896
abstract
Despite great efforts to forecast plant diseases, many of the existing systems often fall short in providing farmers with accurate predictions. One of the main problems arises from the existence of year and location effects, so that more advanced procedures are required for evaluating existing systems in an unbiased manner. This paper illustrates the case of Fusarium head blight of winter wheat in Belgium. We present a new cross-validation strategy that enables the evaluation of the predictive performance of a forecasting system for years and locations that are different from the years and locations on which the forecast was developed. Four different cross-validation strategies and five regression techniques are used. The results demonstrated that traditional evaluation strategies are too optimistic in their predictions, whereas the cross-year cross-location validation strategy yielded more realistic outcomes. Using this procedure, the mean squared error increased and the coefficient of determination decreased in predicting disease severity and deoxynivalenol content, suggesting that existing evaluation strategies may generate a substantial optimistic bias. The strongest discrepancies between the cross-validation strategies were observed for multiple linear regression models.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
WINTER-WHEAT, DEOXYNIVALENOL CONTENT, CROSS-VALIDATION, MODEL, REGRESSION, PREDICTION, CROPS, CLASSIFICATION, POPULATION, EPIDEMICS
journal title
PLANT DISEASE
Plant Dis.
volume
96
issue
6
pages
889 - 896
Web of Science type
Article
Web of Science id
000304182100016
JCR category
PLANT SCIENCES
JCR impact factor
2.455 (2012)
JCR rank
53/193 (2012)
JCR quartile
2 (2012)
ISSN
0191-2917
DOI
10.1094/PDIS-08-11-0665
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2136140
handle
http://hdl.handle.net/1854/LU-2136140
date created
2012-06-07 14:05:52
date last changed
2012-07-03 16:11:13
@article{2136140,
  abstract     = {Despite great efforts to forecast plant diseases, many of the existing systems often fall short in providing farmers with accurate predictions. One of the main problems arises from the existence of year and location effects, so that more advanced procedures are required for evaluating existing systems in an unbiased manner. This paper illustrates the case of Fusarium head blight of winter wheat in Belgium. We present a new cross-validation strategy that enables the evaluation of the predictive performance of a forecasting system for years and locations that are different from the years and locations on which the forecast was developed. Four different cross-validation strategies and five regression techniques are used. The results demonstrated that traditional evaluation strategies are too optimistic in their predictions, whereas the cross-year cross-location validation strategy yielded more realistic outcomes. Using this procedure, the mean squared error increased and the coefficient of determination decreased in predicting disease severity and deoxynivalenol content, suggesting that existing evaluation strategies may generate a substantial optimistic bias. The strongest discrepancies between the cross-validation strategies were observed for multiple linear regression models.},
  author       = {Landschoot, Sofie and Waegeman, Willem and Audenaert, Kris and Vandepitte, Judith and Haesaert, Geert and De Baets, Bernard},
  issn         = {0191-2917},
  journal      = {PLANT DISEASE},
  keyword      = {WINTER-WHEAT,DEOXYNIVALENOL CONTENT,CROSS-VALIDATION,MODEL,REGRESSION,PREDICTION,CROPS,CLASSIFICATION,POPULATION,EPIDEMICS},
  language     = {eng},
  number       = {6},
  pages        = {889--896},
  title        = {Towards a reliable evaluation of forecasting systems for plant diseases: a case study of Fusarium head blight},
  url          = {http://dx.doi.org/10.1094/PDIS-08-11-0665},
  volume       = {96},
  year         = {2012},
}

Chicago
Landschoot, Sofie, Willem Waegeman, Kris Audenaert, Judith Vandepitte, Geert Haesaert, and Bernard De Baets. 2012. “Towards a Reliable Evaluation of Forecasting Systems for Plant Diseases: a Case Study of Fusarium Head Blight.” Plant Disease 96 (6): 889–896.
APA
Landschoot, S., Waegeman, W., Audenaert, K., Vandepitte, J., Haesaert, G., & De Baets, B. (2012). Towards a reliable evaluation of forecasting systems for plant diseases: a case study of Fusarium head blight. PLANT DISEASE, 96(6), 889–896.
Vancouver
1.
Landschoot S, Waegeman W, Audenaert K, Vandepitte J, Haesaert G, De Baets B. Towards a reliable evaluation of forecasting systems for plant diseases: a case study of Fusarium head blight. PLANT DISEASE. 2012;96(6):889–96.
MLA
Landschoot, Sofie, Willem Waegeman, Kris Audenaert, et al. “Towards a Reliable Evaluation of Forecasting Systems for Plant Diseases: a Case Study of Fusarium Head Blight.” PLANT DISEASE 96.6 (2012): 889–896. Print.