Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering

Potato late blight occurrence period forecasting based on polynomial regression analysis

Authors
Qunxiu Yu, Shouming Zhang, Heng Zhang, Chao Wang
Corresponding Author
Qunxiu Yu
Available Online November 2014.
DOI
10.2991/meic-14.2014.121How to use a DOI?
Keywords
Cluster analysis;analysis; Regression; analysis; Late blight; Prediction model
Abstract

Application of 2003-2013 in Malone disease data of potato late blight, relationship to the incidence of late blight in Malone area and the local meteorological conditions were cluster analysis; Select closely associated with the potato late blight and plant pathology has obvious significance for the return of the independent variable meteorological factors, the establishment of origin of potato late blight forecasting model using polynomial regression analysis. Check back on the historical data, found that the prediction model is accurate. In this paper, on the basis of predecessors' research, combined with the physiological characteristics of potato late blight fungus, we use correlation analysis to analyze the temperature, relative humidity, rainfall, wet period and meteorological conditions, such as the relationship between infection rates of potato late blight in Malone area. According to the correlation coefficient, to find out the effect of meteorological conditions on potato late blight infection rate, rejecting the main meteorological conditions. It has a great important meaning of the relationship between the rate and the main meteorological factors of the subsequent analysis of potato late blight infection.

Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
Series
Advances in Engineering Research
Publication Date
November 2014
ISBN
978-94-62520-42-4
ISSN
2352-5401
DOI
10.2991/meic-14.2014.121How to use a DOI?
Copyright
© 2014, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Qunxiu Yu
AU  - Shouming Zhang
AU  - Heng Zhang
AU  - Chao Wang
PY  - 2014/11
DA  - 2014/11
TI  - Potato late blight occurrence period forecasting based on polynomial regression analysis
BT  - Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering
PB  - Atlantis Press
SP  - 539
EP  - 542
SN  - 2352-5401
UR  - https://doi.org/10.2991/meic-14.2014.121
DO  - 10.2991/meic-14.2014.121
ID  - Yu2014/11
ER  -