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What is YOLOv8 for Rice Field Sidewalk Detection about?
This study presents a hybrid approach for sidewalk detection and distance measurement in rice fields, integrating the YOLOv8 algorithm with a novel rice field sidewalk detection (RIFIS-D) algorithm. The model demonstrated high accuracy and robustness, achieving a confidence score of 0.9-1.0 in various conditions, which enhances agricultural monitoring capabilities. This research contributes to the advancement of automated navigation and monitoring technologies in precision agriculture by utilizing cost-effe
- Author
- IAES IJAI
- Language
- EN