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