Wheat Seed Detection and Counting Method Based on Improved YOLOv8 Model

Wheat Seed Detection and Counting Method Based on Improved YOLOv8 Model

Wheat seed detection has important applications in calculating thousand-grain weight and crop breeding. In order to solve the problems of seed accumulation, adhesion, and occlusion that can lead to low counting accuracy, while ensuring fast detection speed with high accuracy, a wheat seed counting m...

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Bibliografische gegevens
Hoofdauteurs: Na Ma, Yaxin Su, Lexin Yang, Zhongtao Li, Hongwen Yan
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2024-03-01
Reeks:Sensors
Onderwerpen:
wheat seed detection
YOLOv8
lightweight
attention mechanism
Online toegang:https://www.mdpi.com/1424-8220/24/5/1654

Internet

https://www.mdpi.com/1424-8220/24/5/1654

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