A Lightweight Attention-Based Convolutional Neural Networks for Fresh-Cut Flower Classification

A Lightweight Attention-Based Convolutional Neural Networks for Fresh-Cut Flower Classification

In the process of classifying fresh-cut flowers, the classification accuracy of the algorithm plays a vital role in the control of quality stability, uniformity, and price of fresh-cut flowers, while the classification speed of an algorithm determines the possibility of industrial application. Curre...

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Bibliographic Details
Main Authors: Yeqi Fei, Zhenye Li, Tingting Zhu, Chao Ni
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Fresh-cut flower grading
lightweight network
attention mechanism
image augmentation
model parameter optimization
Online Access:https://ieeexplore.ieee.org/document/10042302/

Internet

https://ieeexplore.ieee.org/document/10042302/

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