Mobile-CANet: a new high-precision and lightweight method for rice pest classification-Reference-Cited by-同舟云学术

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Mobile-CANet: a new high-precision and lightweight method for rice pest classification

Published:2024-03-27 Issue: Volume: Page:123
ISSN:
Container-title:International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023)
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Author:

Wei Junyu,Wang Yuxin,Wu Xinrui,Shi Liang,Lai Hanyin,Li Ju

Publisher

SPIE

Reference21 articles.

1. Identification of rice plant diseases using lightweight attention networks

2. An Insect Imaging System to Automate Rice Light-Trap Pest Identification

3. A new mobile application of agricultural pests recognition using deep learning in cloud computing system

4. 2018 IEEE 14th International Colloquium on Signal Processing & Its Applications (CSPA)

5. Gan, Y.; Guo, Q.; Wang, C.; Liang, W.; Xiao, D.; Wu, H. Recognizing crop pests using an improved EfficientNet model. Transactions Of The Chinese Society Of Agricultural Engineering 38, 203–211.

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