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Identification of Crop Diseases Based on Improved Genetic Algorithm and Extreme Learning Machine

查看全文 作　　者：Linguo [1,2]Li;Lijuan [1]Sun;Jian [1]Guo;Shujing [2]Li;Ping [3]Jiang 高影响力作者 机构地区：[1]School of Computer,Nanjing University of Posts and Telecommunications,Nanjing,210003,China;[2]College of Information Engineering,Fuyang Normal University,Fuyang,236041,China;[3]Laboratory of Information and Computing Science,The Western University,Ontario,N6A 3K7,Canada高影响力机构 出　　处：《Computers, Materials & Continua》索引2020年第10期,共15页高影响力期刊 基　　金：This paper is supported by the National Youth Natural Science Foundation of China(61802208);the National Natural Science Foundation of China(61572261);the Natural Science Foundation of Anhui(1908085MF207 and 1908085QE217);the Excellent Youth Talent Support Foundation of Anhui(gxyqZD2019097);the Postdoctoral Foundation of Jiangsu(2018K009B);the Higher Education Quality Project of Anhui(2019sjjd81,2018mooc059,2018kfk009,2018sxzx38 and 2018FXJT02);the Fuyang Normal University Doctoral Startup Foundation and Fuyang Government Research Foundation(2017KYQD0008 and XDHXTD201703). 摘　　要：As an indispensable task in crop protection,the detection of crop diseases directly impacts the income of farmers.To address the problems of low crop-disease identification precision and detection abilities,a new method of detection is proposed based on improved genetic algorithm and extreme learning machine.Taking five different typical diseases with common crops as the objects,this method first preprocesses the images of crops and selects the optimal features for fusion.Then,it builds a model of crop disease identification for extreme learning machine,introduces the hill-climbing algorithm to improve the traditional genetic algorithm,optimizes the initial weights and thresholds of the machine,and acquires the approximately optimal solution.And finally,a data set of crop diseases is used for verification,demonstrating that,compared with several other common machine learning methods,this method can effectively improve the crop-disease identification precision and detection abilities and provide a basis for the identification of other crop diseases. 关 键 词：CROPS disease identification extreme learning machine improved genetic algorithm
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