Potato late blight occurrence period forecasting based on polynomial regression analysis

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/).

Download article (PDF)

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  -