Paddy Disease Classification Study: A Deep Convolutional Neural Network Approach

被引：0
|
作者：
Krishna Gopal Mainak Deb
Ranjan Dhal
Jorge Mondal
机构：
[1] Department of Computer Science and Application,
[2] Midnapore College (Autonomous),undefined
[3] Electronics and Communication Sciences Unit,undefined
[4] Indian Statistical Institute,undefined
[5] Departamento de Electrónica,undefined
[6] Universidad de Guadalajara,undefined
来源：
Optical Memory and Neural Networks | 2021年 / 30卷
关键词：
paddy disease; agricultural image processing; Convolution Neural Network; Deep Learning; rice leaf; disease detection;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：338 / 357
页数：19
相关论文
共 50 条
  • [31] Gender classification: a convolutional neural network approach
    Liew, Shan Sung
    Khalil-Hani, Mohamed
    Ahmad Radzi, Syafeeza
    Bakhteri, Rabia
    [J]. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2016, 24 (03) : 1248 - 1264
  • [32] Germinative paddy seed identification using deep convolutional neural network
    Mohammad Aminul Islam
    Md. Rakib Hassan
    Machbah Uddin
    Md Shajalal
    [J]. Multimedia Tools and Applications, 2023, 82 : 39481 - 39501
  • [33] Germinative paddy seed identification using deep convolutional neural network
    Islam, Mohammad Aminul
    Hassan, Md. Rakib
    Uddin, Machbah
    Shajalal, Md
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (25) : 39481 - 39501
  • [34] Wetland Classification Using Deep Convolutional Neural Network
    Mandianpari, Masoud
    Rezaee, Mohammad
    Zhang, Yun
    Salehi, Bahram
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 9249 - 9252
  • [35] DeepDocClassifier: Document Classification with Deep Convolutional Neural Network
    Afzal, Muhammad Zeshan
    Capobianco, Samuele
    Malik, Muhammad Imran
    Marinai, Simone
    Breuel, Thomas M.
    Dengel, Andreas
    Liwicki, Marcus
    [J]. 2015 13TH IAPR INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR), 2015, : 1111 - 1115
  • [36] A novel deep convolutional neural network for arrhythmia classification
    Dang, Hao
    Sun, Muyi
    Zhang, Guanhong
    Zhou, Xiaoguang
    Chang, Qing
    Xu, Xiangdong
    [J]. 2019 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2019, : 7 - 11
  • [37] Fetal Distress Classification with Deep Convolutional Neural Network
    Singh, Harman Deep
    Saini, Munish
    Kaur, Jasdeep
    [J]. CURRENT WOMENS HEALTH REVIEWS, 2021, 17 (01) : 60 - 73
  • [38] A Novel Approach for Tomato Leaf Disease Classification with Deep Convolutional Neural Networks
    Irmak, Gizem
    Saygili, Ahmet
    [J]. JOURNAL OF AGRICULTURAL SCIENCES-TARIM BILIMLERI DERGISI, 2024, 30 (02): : 367 - 385
  • [39] A deep residual convolutional neural network for mineral classification
    Agrawal, Neelam
    Govil, Himanshu
    [J]. ADVANCES IN SPACE RESEARCH, 2023, 71 (08) : 3186 - 3202
  • [40] Fingerprint Classification using a Deep Convolutional Neural Network
    Pandya, Bhavesh
    Cosma, Georgina
    Alani, Ali A.
    Taherkhani, Aboozar
    Bharadi, Vinayak
    McGinnity, T. M.
    [J]. 2018 4TH INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT (ICIM2018), 2018, : 86 - 91
12345