基于YOLO v5的直播油菜激光间苗系统设计与试验OA北大核心CSTPCD
Research and Experiment of Direct Seeding Rape Laser Seedling System Based on YOLO v5
间苗是保证直播油菜增产的一项关键技术措施,为解决人工间苗劳动强度大、机械间苗不精确的问题,采用机器视觉的方式,基于深度学习算法YOLO v5平台,设计并搭建自动间苗装置.机器视觉系统评估幼苗种群的合理密植情况,间苗算法以间距和幼苗叶展为评估标准,实现控制幼苗间距和筛选优质苗的功能.选用遗传算法对间苗行进路径进行规划,相较于未规划路径可缩短最低为50％的行进距离,最终采用激光器高温烧除的方式完成间苗作业.选取油菜苗作为试验材料,间苗阈值α是划定幼苗…查看全部>>
Seedling is a key technical measure to ensure the increase of direct canola yield,based on the deep learning algorithm YOLO v5 detection platform,a visual seedling system was developed,which can visualize the planting density of seedlings and help growers grasp the situation of reasonable dense planting.An interseedling algorithm with spacing and seedling leaf spread as the evaluation criteria was developed,which can standardize the seedling spacing and meet…查看全部>>
张昌松;李伟
陕西科技大学机电工程学院,西安 710021陕西科技大学机电工程学院,西安 710021
农业工程
油菜自动间苗YOLO v5激光器遗传算法
rapeautomatic seedlingsYOLO v5lasergenetic algorithms
《农业机械学报》 2024 (4)
40-52,13
西安近代化学研究所开放合作创新基金项目(SYJJ200304)
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