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CabbageNet: Deep Learning for High-Precision Cabbage Segmentation in Complex Settings for Autonomous Harvesting Robotics

Reducing damage and missed harvest rates is essential for improving efficiency in unmanned cabbage harvesting. Accurate real-time segmentation of cabbage heads can significantly alleviate these issues and enhance overall harvesting performance. However, the complexity of the growing environment and...

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Principais autores: Yongqiang Tian, Xinyu Cao, Taihong Zhang, Huarui Wu, Chunjiang Zhao, Yunjie Zhao
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2024-12-01
coleção:Sensors
Assuntos:
cabbage
deep learning
instance segmentation
automatic harvesting
intelligent agriculture
Acesso em linha:https://www.mdpi.com/1424-8220/24/24/8115
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