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July 19, 2024

An algorithmic model for recognizing healthy wheat seeds based on YOLOv8

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Authors

DWDong WeiXLXiyin Liang

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Wei et al. (2024) studied this question.

synapsesocial.com/papers/68e5fc78b6db64358759078bhttps://doi.org/10.1117/12.3031325
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Wheat Seed Detection and Counting Method Based on Improved YOLOv8 Model2024 · 45 citations
  2. 2Deep learning-based detection and counting of wheat seeds: Comparative benchmarking of YOLO models2026
  3. 3Comparative Analysis of YOLOv5–YOLOv11 Models for Automated Wheat Quality Assessment with Detection of Sunn Pest Damage and Foreign Materials2026
  4. 4Detection and counting of wheat ear using YOLOv82024 · 1 citations
  5. 5YOLOv8 Model for Weed Detection in Wheat Fields Based on a Visual Converter and Multi-Scale Feature Fusion2024 · 22 citations