农业机械学报2024，Vol.55Issue(4)：40-52,13.DOI:10.6041/j.issn.1000-1298.2024.04.004
基于YOLO v5的直播油菜激光间苗系统设计与试验
Research and Experiment of Direct Seeding Rape Laser Seedling System Based on YOLO v5
摘要
Abstract
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 the horticultural requirements of seedlings to remove inferiority and store excellent seedlings.The genetic algorithm was used to plan the travel path of seedlings to improve the efficiency of seedlings.Compared with unplanned routes,the travel distance can be shortened by more than 50％.Rapeseed seeds were selected as experimental materials,and set different threshold values α for the experiment.The results showed that with the increase of the threshold α of inter-seedlings,the number of inter-seedlings was also increased,and the average density of the identified area was decreased,and the leaf spread length of the inter-seedlings was classified and counted,the ladder distribution of the leaf length of the seedlings proved that the seedling extension algorithm had the function of eliminating inferiority and preserving excellence.The execution stage of the seedlings accounted for more than 90％of the total time spent in the seedling operation.The three-factor three-level orthogonal test was carried out with the laser trace range,laser power,distance threshold,as the test factors.The performance verification test was carried out under the parameters of the optimal interseedling L of 30 mm,the laser power P of 7.5 W,and the inter-seedling threshold α of 250 mm,reducing the accidental injury rate of seedlings and the time consumption of seedlings.The experiment showed that the average mortality rate of laser seedlings was 93.29％,the average false injury rate was 5.19％,the average total time spent was 15.19 min.The research result provided a theoretical basis for automatic seedlings and provided equipment support for agricultural industrial planting.关键词
油菜/自动间苗/YOLO v5/激光器/遗传算法Key words
rape/automatic seedlings/YOLO v5/laser/genetic algorithms分类
农业科技引用本文复制引用
张昌松,李伟..基于YOLO v5的直播油菜激光间苗系统设计与试验[J].农业机械学报,2024,55(4):40-52,13.基金项目
西安近代化学研究所开放合作创新基金项目(SYJJ200304) （SYJJ200304）
