An Optimized Convolution Neural Network Architecture for Paddy Disease Classification

作     者：Muhammad Asif Saleem Muhammad Aamir Rosziati Ibrahim Norhalina Senan Tahir Alyas 

作者机构：Faculty of Computer ScienceUniversiti Tun Hussein Onn MalaysiaBatu Pahat54000Malaysia School of ElectronicsComputing and MathematicsUniversity of DerbyDerbyDE221GBUnited Kingdom Department of Computer ScienceLahore Garrison UniversityLahore54000Pakistan 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第71卷第6期

页      面：6053-6067页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 0801[工学-力学（可授工学、理学学位）] 

基　　金：The authors received funding source for this research activity under Multi-Disciplinary Research(MDR)Grant Vot H483 from Research Management Centre(RMC)office Universiti Tun Hussein Onn Malaysia(UTHM) 

主　　题：Deep learning optimum CNN architecture particle swarm optimization convolutional neural network parameter optimization 

摘      要：Plant disease classification based on digital pictures is *** learning approaches and plant image categorization technologies such as deep learning have been utilized to recognize,identify,and diagnose plant diseases in the previous *** the yield quantity and quality of rice forming is an important cause for the paddy production ***,some diseases that are blocking the improvement in paddy production are considered as an ominous *** Neural Network(CNN)has shown a remarkable performance in solving the early detection of paddy leaf diseases based on its images in the fast-growing era of science and ***,the significant CNN architectures construction is dependent on expertise in a neural network and domain *** approach is time-consuming,and high computational resources are *** this research,we propose a novel method based on Mutant Particle swarm optimization(MUT-PSO)Algorithms to search for an optimum CNN architecture for Paddy leaf disease *** results show that Mutant Particle swarm optimization Convolution Neural Network(MUTPSO-CNN)can find optimumCNNarchitecture that offers better performance than existing hand-crafted CNN architectures in terms of accuracy,precision/recall,and execution time.