LGM-Net: Wheat Pest and Disease Detection Network Based on Local Global Information Interaction and Multi-Level Feature Fusion
Wheat, as one of the most critical and widely consumed crops globally, is of irreplaceable importance to the food supply and agricultural economy. However, disease problems in wheat leaves often have a significant negative impact on the growth and yield of the crop. Therefore, this paper proposes a...
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| Main Authors: | Yimin Qu, Shaobo Yu, Jing Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10756655/ |
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