Different life cycles of rice pests’ images recognition based on adaptive lightweight DC-ghost module-Reference-Cited by-同舟云学术

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Different life cycles of rice pests’ images recognition based on adaptive lightweight DC-ghost module

Published:2024-12 Issue: Volume:255 Page:124645
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Peng Hongxing^ORCID,Yao Li,Liu Huanai,Peng Shuqian,He Huijun,Xu Huiming,Li Minhui^ORCID

Publisher

Elsevier BV

Reference35 articles.

1. Alfarisy, A. A., Chen, Q., & Guo, M. (2018).Deep learning based classification for paddy pests & diseases recognition. Proceedings of 2018 International Conference on Mathematics and Artificial Intelligence – ICMAI ’18.doi:10.1145/3208788.3208795.

2. Climate Change and Its Impact on the Yield of Major Food Crops: Evidence from Pakistan;Ali;Foods,2017

3. DO-Conv: Depthwise Over-Parameterized Convolutional Layer;Cao;IEEE Transactions on Image Processing,2022

4. Detection of rice plant diseases based on deep transfer learning;Chen;Journal of the Science of Food and Agriculture,2020

5. Flying Insect Classification with Inexpensive Sensors;Chen;Journal of Insect Behavior,2014

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