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An effective feature extraction method for rice leaf disease classification

Tersimpan di:
Main Authors: Azim, Muhammad Anwarul; University of Chittagong, Islam, Mohammad Khairul; University of Chittagong, Rahman, Md. Marufur; University of Chittagong, Jahan, Farah; University of Chittagong
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: Universitas Ahmad Dahlan , 2021
Subjects:
classification
extreme gradient boosting
image processing
machine learning
plant disease detection
rice leaf diseases
XGBoost
Online Access: http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/16488
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/16488/9867
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/downloadSuppFile/16488/3051
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Internet

http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/16488
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/16488/9867
http://journal.uad.ac.id/index.php/TELKOMNIKA/article/downloadSuppFile/16488/3051

Lokasi

Koleksi Journal of Education and Learning
Gedung Perpustakaan Universitas Ahmad Dahlan
Institusi Universitas Ahmad Dahlan
Kota KOTA YOGYAKARTA
Provinsi DAERAH ISTIMEWA YOGYAKARTA
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Lihat Juga

  • An effective feature extraction method for rice leaf disease classification
    oleh: Azim, Muhammad Anwarul; University of Chittagong, et al.
    Terbitan: (2020)
  • Text to Emotion Extraction Using Supervised Machine Learning Techniques
    oleh: Azim, Muhammad Anwarul; University of Chittagong, et al.
    Terbitan: (2018)
  • Pengaruh ekstrak kulit buah garcinia dioica terhadap kadar trigliserida pada darah tikus strain wistar yang diberi asupan lemak berlebih = The effect of skin extract from garcinia dioica fruit on triglyceride level in rat s blood wistar strain that were given excess fat intake
    Terbitan: (2013)
  • An Algorithm for Plant Disease Visual Symptom Detection in Digital Images Based on Superpixels
    oleh: Salazar-Reque, Itamar F.; Instituto Nacional de Investigación y Capacitación de Telecomunicaciones INICTEL-UNI (National Institute of Research and Training in Telecommunications, National University of Engineering - UNI), et al.
    Terbitan: (2019)
  • The Implementation of Pretrained VGG16 Model for Rice Leaf Disease Classification using Image Segmentation
    oleh: Suseno, Jody Ririt Krido, et al.
    Terbitan: (2023)
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