An Effective YOLOv11 Grain Detection Model Trained on Intact Barley Spikes Reveals a QTL Containing a Pivotal Regulator of Lateral Spikelet Formation

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RT @Plants_MDPI: 🌾 AI is accelerating crop genetics research. A YOLOv11-based grain detection model achieved 97.1% precision for barley sp…

🌾 AI is accelerating crop genetics research. A YOLOv11-based grain detection model achieved 97.1% precision for barley spike analysis and helped identify a yield-related QTL 🤖📊 🔗 Read more: https://t.co/SeUpRSRSEx 📌#ArtificialIntelligence #Barley …

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