Classification of Germination Images of Pear Pollen Using Random Forest and Convolution Neural Network Models

Classification of Germination Images of Pear Pollen Using Random Forest and Convolution Neural Network Models

Verifying pollen germination using microscopic images is a difficult task. It is usually time-consuming and may entail reduced accuracy and reproducibility. Therefore, in this study, we used random forest (RF) and convolutional neural network (CNN) models to perform image classification on raw data...

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Bibliographic Details
Main Authors: Ung Yang, Seungwon Oh, Seung Gon Wi, Bok-Rye Lee, Sang-Hyun Lee, Min-Soo Kim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Classification
CNN
image
pollen
RF
variables
Online Access:https://ieeexplore.ieee.org/document/9382253/

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