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A lightweight detection algorithm for cereal weed recognition based on deep learning
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DOI：10.1016/j.cropro.2025.107451.png)
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Abstract
En 中文
• A grain weed identification model LRS-YOLOv8 in field environment was proposed. • LRS-YOLOv8 has the advantages of performance and lightweight. • Provide a useful insight for resource-constrained devices.
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