| The mountain apricot(Armeniaca sibirica L.)is a plant of the genus Armeniaca in the Rosaceae family,and is a unique ecological and economic tree species in Asia.Doing a good job in the collection,preservation and information management of apricot germplasm resources can lay a foundation for the efficient utilization of apricot resources.In this study,the National Forest Germplasm Repository of Apricot was taken as the research object,using UAV aerial survey technology,RTK technology,and image production technology to produce Orthophotography(DOM)and Elevation Raster Data(DEM);establish a classification model to obtain Information about the apricot germplasm;at the same time,through the QR code +cloud technology,an information management platform for the apricot germplasm resources was established.The purpose is to reduce the field investigation workload and investigation cost of resource management,and make the resource management work scientific,standardized and informatized,so as to realize the modernization of the management level and management ability of forest germplasm resources.The main findings are as follows:(1)Using RTK technology and Pix4 D software,the precise control of UAV aerial survey mapping accuracy is realized,and the UAV aerial survey data processing process is established.Aerial surveys in the whole area of the Apricot National Forest Germplasm Resource Preservation Bank were divided into 4 flight missions,and a total of 3180 images were taken.The aerial survey in the germplasm resource collection area was divided into 2missions,and a total of 1720 images were taken.Through the Pix4 D mapper mapping technology,84360 orthophotos were finally generated.(2)Established the operation process of UAV aerial survey to extract tree height,crown projected area,mosaic RGB model and flowering phenology of apricot germplasm resources.The zonal statistics method is more suitable for extracting the height of apricot germplasm.The linear fitting equation is y=0.904x+0.2431,and the relative error is only 1.13%.The projected area of the germplasm canopy,the linear fitting equation is y=1.0558x+1.187,and the relative error is 6.92%.The height and canopy projection area of the apricot germplasm extracted by UAV combined with zonal statistics are reliable.The concept of tree growth space is proposed,which adds dimension to the analysis of apricot growth.(3)Design the cloud data management platform of apricot germplasm resources,including two-dimensional code management,questionnaire template,questionnaire management and other modules.It covers a total of 186 items of information in 5 items,including site factors,botanical traits,biological traits,field management,and pest management.A total of 13,810 QR codes with unique identification were produced for the apricot germplasm resources.The two-dimensional code of apricot germplasm is divided into four levels of management.The first-level total code is the classification of apricot species,the second-level code is the division code,the third-level code is the grouping code,and the fourth-level code is the two-dimensional code of the single plant of apricot.(4)The mobile terminal survey system was designed,and the survey form was made in the survey form module for the management of the apricot resource database,including tree factor survey,branch survey,flower organ survey,leaf survey,fruit survey,nuclear survey,kernel survey,Phenological observation,pest management,field management,etc.To sum up,the combination of UAV aerial survey and two-dimensional code technology solves the problems of high cost,long construction period,large amount of data,and difficult management in the traditional field survey process,allowing accurate positioning of germplasm resources,improving survey efficiency and scientific research.Information management such as the reliability of results,the retrospective and tracking of historical data,the reduction of scientific research cycles,the implementation of dynamic monitoring,and the maintenance of scientific research archives security has become possible and has broad application prospects. |