3D Robotic System Development for High-throughput Crop Phenotyping

被引:9
|
作者
Zhang, Chongyuan [1 ]
Gao, Honghong [1 ,2 ]
Zhou, Jianfeng [1 ]
Cousins, Asaph [3 ]
Pumphrey, Michael O. [4 ]
Sankaran, Sindhuja [1 ]
机构
[1] Washington State Univ, Dept Biol Syst Engn, Pullman, WA 99164 USA
[2] Xian Technol Univ, Xian, Shaanxi, Peoples R China
[3] Washington State Univ, Sch Biol Sci, Pullman, WA 99164 USA
[4] Washington State Univ, Dept Crop & Soil Sci, Pullman, WA 99164 USA
来源
IFAC PAPERSONLINE | 2016年 / 49卷 / 16期
关键词
Automation; Crop monitoring; Data acquisition platform; Plant breeding; WINTER-WHEAT; PLANT; DEFICIENCY;
D O I
10.1016/j.ifacol.2016.10.045
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Plant breeding programs are working towards developing new high-yielding crop varieties to accommodate the increasing demand for food. However, high throughput phenotyping remains to be the bottleneck that is currently limiting the complete breeding potential. In this project, a 3D robotic system was developed to conduct automated high-throughput phenotyping in cereal crops. The 3D robotic phenotyping system consisted of an aluminum framework to support a 3D sliding system (sliders and tracks), which allows a sensor mount travel in X and Y axis in a selected height (Z axis). The system was controlled with a custom designed algorithm based on LabVIEW program. A control box was used to interface the system with a computer. During preliminary evaluation, a thermal camera and a multispectral camera were installed on the sensor mount, and the integrated automated phenotyping system was continuously operated for 48 hours for autonomous data collection. The 3D robotic system had been working precisely based on the design specifications. Results showed that the 3D robotic system had time repeatability with trigger activation within 4 s and positioning error less than 0.78 mm, indicating the potential of system for automated, systematic high-throughput phenotyping. (C) 2016, IFAC (International Federation of Automatic (Control) Hosting by Elsevier Ltd.,All rights reserved.
引用
收藏
页码:242 / 247
页数:6
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