YOLOv8-CTB: A lightweight and real-time cotton bud detection under field conditions with edge deployment

Key Points

• Real-time cotton bud detection shows high accuracy, achieving a 95% success rate.
• Analysis employs the YOLOv8 algorithm for object detection on edge devices, ensuring lightweight operation.
• Field deployment conditions enhance the relevance of the model in practical applications.
• Significance lies in the model’s ability to detect objects efficiently, enabling agricultural advancements.