Characterization of peach tree crown by using high-resolution images from an unmanned aerial vehicle.

ABSTRACT: In orchards, measuring crown characteristics is essential for monitoring the dynamics of tree growth and optimizing farm management. However, it lacks a rapid and reliable method of extracting the features of trees with an irregular crown shape such as trained peach trees. Here, we propose an efficient method of segmenting the individual trees and measuring the crown width and crown projection area (CPA) of peach trees with time-series information, based on gathered images. The images of peach trees were collected by unmanned aerial vehicles in an orchard in Okayama, Japan, and then the digital surface model was generated by using a Structure from Motion (SfM) and Multi-View Stereo (MVS) based software. After individual trees were identified through the use of an adaptive threshold and mar

SUBMITTER: Mu Y 

PROVIDER: S-EPMC6286954 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature