Abstract

In order to realize three-dimensional reconstruction of canopy at different growth stages of fruit trees, 3D data acquisition methods and canopy reconstruction methods were studied. Based on the analysis of morphological and structural changes in fruit phonological phase, and integrating the advantages of different data acquisition techniques, the data acquisition method of fruit tree morphological structure based on multi-source is proposed. In the dormant period, the canopy skeleton is extracted based on point cloud data; in the leaf curtain stage, a new artificial coding method of canopy structure is constructed, and the data of new shoots and leafs is obtained efficiently; and organ template data is obtained synchronously, and the organ template library is constructed. Then, a multi-source data fusion modeling method is proposed to reconstruct the three-dimensional canopy of fruit trees at different growth stages. And the feasibility of the method is verified by 12 year old open central leader system apple trees, the results show that compared with the manual data acquisition method, the method improves the efficiency by more than 5 times, and the error rate is less than 6%. It provides a feasible scheme for the continuous data acquisition and canopy 3D reconstruction of fruit trees, so as to provide technical support for virtual modeling, scientific calculation and experimental simulations.

Highlights

  • With the development of digital plant technology, 3D canopy data and 3D modeling technology are widely used in tree characterization, growth simulation, virtual management of orchard and so on[1-3]

  • Integrating the advantages of different data acquisition technologies, this paper proposes a method to obtain morphological structure based on multi-source data fusion of fruit tree phenology, and the 3D modeling of the apple tree have constructed by this method

  • We integrate a variety of data acquisition devices, and optimize the data acquisition process, and establish the data acquisition process of the tree canopy structure based on multi-source information fusion

Read more

Summary

Introduction

With the development of digital plant technology, 3D canopy data and 3D modeling technology are widely used in tree characterization, growth simulation, virtual management of orchard and so on[1-3]. Integrating the advantages of different data acquisition technologies, this paper proposes a method to obtain morphological structure based on multi-source data fusion of fruit tree phenology, and the 3D modeling of the apple tree have constructed by this method. Taking the open central leader system apple trees as the experimental object, the experimental results show that the modeling efficiency is improved greatly by comparing with the artificial method, and has a realistic visualization effect. This method provides a feasible scheme for the continuous data acquisition of fruit tree growth

Fruit tree morphology and structure characteristics
Axial structure
Leaf curtain
Data acquisition process
Fruit tree skeleton extraction based on point cloud
Coding representation of canopy topology
The linear relationship model of new branches and leaves
Visualization effect
Accuracy and efficiency
Findings
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.