DOI QR코드

DOI QR Code

Sweet Persimmons Classification based on a Mixed Two-Step Synthetic Neural Network

혼합 2단계 합성 신경망을 이용한 단감 분류

  • Roh, SeungHee (Dept. of Information and Communications Engineering, Changwon National University) ;
  • Park, DongGyu (Dept. of Information and Communications Engineering, Changwon National University)
  • 노승희 ;
  • 박동규
  • Received : 2021.09.07
  • Accepted : 2021.10.12
  • Published : 2021.10.30

Abstract

A research on agricultural automation is a main issues to overcome the shortage of labor in Korea. A sweet persimmon farmers need much time and labors for classifying profitable sweet persimmon and ill profitable products. In this paper, we propose a mixed two-step synthetic neural network model for efficiently classifying sweet persimmon images. In this model, we suggested a surface direction classification model and a quality screening model which constructed from image data sets. Also we studied Class Activation Mapping(CAM) for visualization to easily inspect the quality of the classified products. The proposed mixed two-step model showed high performance compared to the simple binary classification model and the multi-class classification model, and it was possible to easily identify the weak parts of the classification in a dataset.

Keywords