Varietal Identification of Rice Seed Using Deep Convolutional Neural Network

Authors

  • Amrit Poudel Department of Software Engineering, Gandaki College of Engineering and Science, Pokhara University, Nepal
  • Bidur Devkota Department of Electronics and Computer Engineering, IOE, Pashchimanchal Campus, Tribhuvan University, Nepal

DOI:

https://doi.org/10.3126/jes2.v1i1.58428

Keywords:

CNN-SVM, Hybrid Model, Rice Dataset, Rice Seed Classification

Abstract

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Published

2022-12-31

How to Cite

Poudel, A., & Devkota, B. (2022). Varietal Identification of Rice Seed Using Deep Convolutional Neural Network. Journal of Engineering and Sciences, 1(1), 57–61. https://doi.org/10.3126/jes2.v1i1.58428

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Section

Articles