农业工程2026，Vol.16Issue(1)：14-20,7.DOI:10.19998/j.cnki.2095-1795.202507056
基于K230芯片和YOLOv11n的蓝莓果实成熟度识别系统设计
Design of blueberry fruit ripeness recognition system based on K230 and YOLOv11n
摘要
Abstract
Blueberry ripeness detection aims to automatically determine blueberries ripeness based on input images captured in a natural environment,thereby providing technical support for intelligent blueberry harvesting.On basis of collecting blueberry images in field to build a dedicated dataset,a multi-ripeness detection model was trained based on YOLOv11n,and optimized model was deployed to K230 embedded platform.Experimental results showed that this model achieved high accuracy,with precision rate,recall rate,mAP0.5,and mAP0.50～0.95 indicators reaching 90.1%,81.0%,88.1%,and 64.9%respectively.Its parameter quantity was only 2 582 737,and it achieved a single-frame image inference speed of 9.5 ms,an inference speed on embedded device of only 240 ms.This system was both high accuracy and real-time performance.Its lightweight characteristics and embedded compatibility provided a new method for practical application of intelligent blueberry harvesting robots.关键词
蓝莓/目标检测/成熟度/YOLOv11n/K230芯片/采摘机器人Key words
blueberry fruit/object detection/ripeness/YOLOv11n/K230 chip/harvesting robot分类
农业科技引用本文复制引用
刘芹,罗启键,曾涛,欧阳婧玟,周智彬..基于K230芯片和YOLOv11n的蓝莓果实成熟度识别系统设计[J].农业工程,2026,16(1):14-20,7.基金项目
广东省科学技术厅项目(KTP20240325) （KTP20240325）
广州市科技局农村特派员项目(2025D04J0012) （2025D04J0012）
