Precision agriculture is a modern agricultural production mode with the core concept of timing,locating and quantitative control of agricultural production,and the goal of low input and high yield,which represents the development direction of sustainable environmental protection agriculture.On the research of its locating and quantitative information,image acquisition and processing have great significance.3D image makes up for the missing in depth information compared to 2D image,so it’s more accurate in practical applications.Among the 3D imaging technology,ToF(Time of Flight)depth camera can obtain the depth information of target directly,thus,it has obvious advantages in determining the location and phenotypic parameters of crop.This thesis proposed the scheme that using ToF depth camera in precision agriculture research based on its convenience in obtaining depth information and portability in outdoor operation,and aimed at obtaining locating and quantitative information that precision agriculture requires,do the following research work.On the research of acquiring location information of crop,window smoothing method was proposed to detect the position of dense leaves after edge detection of typical plants;considering the complex background in the environment,this thesis came up with the threshold segmentation method based on depth characteristics,and found the position of single vegetable connected domain’s centroid,which is the position of single vegetable.On the research of acquiring phenotypic characteristic parameters of crop,this thesis obtained bottom and top coordinates of stem based on Harris corner detection algorithm firstly,and calculated the Euclidean distance of the two 3D coordinates,which is the typical plant’s height;on the research of vegetable growth,this thesis choosed the vertical and horizontal shape to evaluate its size and designed the algorithm process,provided a more accurate solution for the evaluation of crop growth.This thesis proposed a scheme that using ToF depth camera to obtain depth information based on 3D image’s advantages in precision agriculture,and extracted the location information and phenotypic characteristic parameters of crop.This thesis proposed a specific scheme for the research of ToF depth camera in precision agriculture and validated the feasibility. |