Experimental Design of Strawberry Distortion Recognition Based on the Multi-Scale Convolutional Neural Network

Jingjie YAN; Peiyuan LI; Xiaoyang ZHOU; Junfeng DING; Chenyu WANG; Guanming LU

doi:10.12179/1672-4550.20240100

Experiment Science and Technology, Volume. 23, Issue 4, 20(2025)

Experimental Design of Strawberry Distortion Recognition Based on the Multi-Scale Convolutional Neural Network

Jingjie YAN^1、*, Peiyuan LI¹, Xiaoyang ZHOU², Junfeng DING¹, Chenyu WANG¹, and Guanming LU¹

¹School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

²School of Information Science and Engineering, Southeast University, Nanjing 211189, China

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References(3)

[7] LECUN Y, BOTTOU L. Gradient-based learning applied to document recognition[J]. Proceedings of the IEEE, 86, 2278-2324(1998).

[14] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition[J](2014).

[15] DENG J, DONG W, SOCHER R et al. ImageNet: A large-scale hierarchical image database[C], 248-255(2009).

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Jingjie YAN, Peiyuan LI, Xiaoyang ZHOU, Junfeng DING, Chenyu WANG, Guanming LU. Experimental Design of Strawberry Distortion Recognition Based on the Multi-Scale Convolutional Neural Network[J]. Experiment Science and Technology, 2025, 23(4): 20

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Paper Information

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Received: Mar. 4, 2024

Accepted: --

Published Online: Jul. 30, 2025

The Author Email: Jingjie YAN (yanjingjie@njupt.edu.cn)

DOI:10.12179/1672-4550.20240100

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