基于机器视觉的生态林场园林植物种植密度监控研究

Research on monitoring the planting density of landscape plants in ecological forest farms based on machine vision

科学合理的种植密度有助于维持生态林场的生物多样性,使土地利用率和植物产出效率得到显著提升,对园林经济效益和生态环境效益产生重要影响。基于此,通过遥感技术采集生态林场园林植物信息,利用机器视觉技术将原始生态林场园林帧图像转换为灰度图像,准确提取出生态林场园林植物轮廓;再引入决策树算法对园林植物进行分类并计算种植密度,结合不同植物种类的生长特性、园林设计要求以及生态功能需求,完成对植物密度的分析预警。结合实际林业试验环境对植物种植密度的设计、管理以及调控措施提出了建议,促进了生态林场的可持续发展。

Scientific and reasonable planting density helps maintain the biodiversity of ecological forest farms,significantly improving land use efficiency and plant output efficiency,and having a significant impact on the economic and ecological benefits of landscaping.Based on this,the article collects information on ecological forest garden plants through remote sensing technology,and uses machine vision technology to convert the original ecological forest garden frame images into grayscale images,accurately extracting the contours of ecological forest garden plants;Introducing decision tree algorithm to classify garden plants and calculate planting density,combined with the growth characteristics of different plant species,garden design requirements,and ecological function requirements,to complete the analysis and early warning of plant density.Finally,suggestions were put forward for the design,management,and control measures of plant planting density based on the actual forestry experimental environment,which promoted the sustainable development of ecological forest farms.