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
收藏
页码：570 / 574
页数：5
相关论文
共 50 条
  • [1] Formulation of weather-based criteria rules for the prediction of sucking pests in cotton (Gossypium hirsutum) in Punjab
    Kaur, Prabhjyot
    Singh, Harpreet
    Butter, N. S.
    INDIAN JOURNAL OF AGRICULTURAL SCIENCES, 2009, 79 (05): : 375 - 380
  • [2] Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network
    Qingxin Xiao
    Weilu Li
    Yuanzhong Kai
    Peng Chen
    Jun Zhang
    Bing Wang
    BMC Bioinformatics, 20
  • [3] Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network
    Xiao, Qingxin
    Li, Weilu
    Kai, Yuanzhong
    Chen, Peng
    Zhang, Jun
    Wang, Bing
    BMC BIOINFORMATICS, 2019, 20 (01)
  • [4] Cotton-yield prediction for Punjab using weather based statistical models
    Paul, Surrender
    Shekhar, Chander
    Bhan, S. C.
    JOURNAL OF AGROMETEOROLOGY, 2012, 14 (02): : 184 - 186
  • [5] Multidecadal, county-level analysis of the effects of land use, Bt cotton, and weather on cotton pests in China
    Zhang, Wei
    Lu, Yanhui
    van der Werf, Wopke
    Huang, Jikun
    Wu, Feng
    Zhou, Ke
    Deng, Xiangzheng
    Jiang, Yuying
    Wu, Kongming
    Rosegrant, Mark W.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 115 (33) : E7700 - E7709
  • [6] Seasonal incidence of sucking insect pests of Bt cotton in relation to different weather parameters
    Muchhadiya, D. V.
    Damasia, D. M.
    Saradava, D. A.
    Kabaria, B. B.
    JOURNAL OF AGROMETEOROLOGY, 2014, 16 (02): : 227 - 229
  • [7] Remote sensing and weather information in cotton yield prediction
    Thomasson, JA
    Wooten, JR
    Gogineni, S
    Sui, RX
    Kolla, BM
    ECOSYSTEMS' DYNAMICS, AGRICULTURAL REMOTE SENSING AND MODELING, AND SITE-SPECIFIC AGRICULTURE, 2003, 5153 : 127 - 135
  • [8] PIN-POINT YOUR COTTON PESTS .3. DISTRIBUTION, WEATHER AND CLIMATE
    MABBETT, T
    WORLD CROPS, 1983, 35 (05): : 179 - &
  • [9] WEATHER, PESTS AND DISEASE
    不详
    AGRICULTURAL METEOROLOGY, 1972, 10 (4-5): : 249 - +
  • [10] Controlling cotton pests
    Harris, MK
    SCIENCE, 1996, 273 (5282) : 1641 - 1642
12345