Campus Units
Agricultural and Biosystems Engineering, Human Computer Interaction, Plant Sciences Institute
Document Type
Conference Proceeding
Conference
2014 ASABE and CSBE/SCGAB Annual International Meeting
Publication Version
Published Version
Publication Date
2014
First Page
141901199
DOI
10.13031/aim.20141901199
Conference Date
July 13 – 16, 2014
City
Montreal, Quebec, Canada
Abstract
Sorghum has great potential to become a major feedstock for bioenergy production. For the purpose of improving its biomass yield through genetic research, manual measurement of yield component traits such as plant height, stem diameter, leaf number, leaf angle, leaf length, leaf area and plant volume in the field is the current practice, which however is extremely laborious and time-consuming. High quality 3D reconstruction of sorghum plant architecture would make it possible for automatic measurement of yield component traits. This paper presents a high-throughput field-based phenotyping robotic system capable of automatic acquisition of stereo image pairs of sorghum samples. A utility garden tractor was retrofitted with a Topcon auto guidance system to self-navigate between crop rows. A stereo camera rig consisting of six stereo camera heads was mounted in front of the robotic tractor. Stereo image pairs for each genetic line were captured at mapped locations by using the onboard RTK-GPS signals. 3D point clouds of different scenes in the field were reconstructed using PatchMatch Stereo, which effectively estimated highly slanted plant surfaces.
Copyright Owner
American Society of Agricultural and Biological Engineers
Copyright Date
2014
Language
en
File Format
application/pdf
Recommended Citation
Bao, Yin; Nakami, Akash D.; and Tang, Lie, "Development of a Field Robotic Phenotyping System for Sorghum Biomass Yield Component Traits Characterization" (2014). Agricultural and Biosystems Engineering Conference Proceedings and Presentations. 561.
https://lib.dr.iastate.edu/abe_eng_conf/561
Included in
Agriculture Commons, Bioresource and Agricultural Engineering Commons, Plant Sciences Commons
Comments
This proceeding is published as Bao, Yin, Akash D. Nakami, and Lie Tang. "Development of a field robotic phenotyping system for sorghum biomass yield component traits characterization." ASABE and CSBE/SCGAB Annual International Meeting, Montreal, Quebec Canada, July 13 – 16, 2014. Paper No. 141901199. DOI: 10.13031/aim.20141901199. Posted with permission.