GhostGS and ECA2 enhanced framework for accurate strawberry maturity detection in smart agriculture
Researchers have developed an improved YOLOv11-based framework for detecting strawberry maturity in agricultural settings. The system uses lightweight modules to enhance feature extraction and spatial awareness, outperforming existing models in real-time accuracy.
Why it matters
Advancements in agricultural vision systems facilitate automation and robotic harvesting, which can increase efficiency in food production.
Scientific Reports ( 2026 ) Cite this article
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