Weather Based Prediction of Pests in Cotton

被引：3

作者：

Raghavendra, K. V. ^{[1
]}

Naik, D. S. Bhupal ^{[1
]}

Venkatramaphanikumar, S. ^{[1
]}

Kumar, S. Deva ^{[1
]}

Krishna, S. V. Rama ^{[1
]}

机构：

[1] Vignans Fdn Sci Technol & Res, Dept Comp Sci & Engn, Guntur, Andhra Pradesh, India

来源：

2014 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND COMMUNICATION NETWORKS | 2014年

关键词：

Cotton; Weather parameters; Jassid; Aphids; Thrips; White Fly; REG Procedure; GLM Procedure; Correlation; PARAMETERS; PUNJAB;

D O I：

10.1109/CICN.2014.129

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This research work is focused to study the influence of weather parameters on the incidence of pests on cotton from the period 2006 to 2010 at Acharya N. G. Ranga Agricultural University, Lam farm, Guntur. Multiple Linear Regression (REG) and Generalized Linear Model (GLM) techniques are used to analyze the pooled pest's data statistically along with weather parameters by SAS (Statistical Analysis System). The regression equations were developed for cotton pest using multiple linear regression models. The comparative study has been made for identifying the coefficient of determination (R-2) which remains same for all kinds of pests when both REG procedure and GLM procedure models were fitted. The total influence of all the weather parameters was significant on thrips and while it was non-significant on jassid, aphids and whitefly.

引用

页码：570 / 574

页数：5

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