MISIRoot: A Robotic, Minimally Invasive, in Situ Imaging System for Plant Root Phenotyping

IF 1.4 4区 农林科学 Q3 AGRICULTURAL ENGINEERING
W. Qiu, Jian Jin
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引用次数: 2

Abstract

HighlightsA non-destructive, in situ, and low-cost root phenotyping system was developed.The system can collect color images and 3D cloud points of corn roots in soil.When tested in a greenhouse, the scanning process did not cause significant disturbance of corn plants.The results showed significant differences in root growth for different watering treatments and growth stages.Abstract. Plant root phenotyping technologies play an important role in breeding, plant protection, and other plant science research projects. Root phenotyping researchers urgently need technologies that are low-cost, in situ, non-destructive to roots, and suitable for the natural soil environment. Many recently developed root phenotyping methods, such as minirhizotron, X-CT, and MRI scanners, have unique advantages in observing plant roots, but they also have disadvantages and cannot meet all the critical requirements simultaneously. This study focused on the development of a new plant root phenotyping robot, called MISIRoot, that is minimally invasive and works in situ in natural soil. The MISIRoot system mainly consists of an industrial-level robotic arm, a miniature camera with lighting, a plant pot holding platform, and image processing software for root recognition and feature extraction. MISIRoot can acquire high-resolution color images of roots in soil with minimal disturbance to the roots and measure the roots’ three-dimensional (3D) structure with an accuracy of 0.1 mm. In tests, well-watered and drought-stressed groups of corn plants were measured with MISIRoot at the V3, V4, and V5 growth stages. The system successfully acquired RGB color images of the roots and 3D point cloud data containing the locations of the detected roots. The plants measured with MISIRoot and the plants not measured (control) were carefully compared with the results from a hyperspectral imaging facility (reference). No significant differences were found between the two groups of plants at different growth stages. Keywords: 3D point cloud, Low-cost phenotyping, Minimally invasive root measurement, Plant root phenotyping, Robotic arm application, Root imaging.
MISIRoot:一种用于植物根系表型分析的机器人微创原位成像系统
开发了一种无损、原位、低成本的根系表型系统。该系统可以采集土壤中玉米根的彩色图像和三维云点。在温室试验中,扫描过程没有对玉米植株造成明显干扰。结果表明,不同灌水处理和不同生育期对根系生长有显著影响。植物根系表型技术在育种、植物保护和其他植物科学研究项目中发挥着重要作用。根系表型研究人员迫切需要低成本、原位、对根系无损且适合自然土壤环境的技术。近年来发展起来的许多根系表型分析方法,如minihizotron、X-CT和MRI扫描仪等,在观察植物根系方面具有独特的优势,但也有缺点,不能同时满足所有的关键要求。这项研究的重点是开发一种新的植物根系表型机器人,称为MISIRoot,它是微创的,可以在自然土壤中原位工作。MISIRoot系统主要由工业级机械臂、带照明的微型相机、植物盆栽平台以及用于根系识别和特征提取的图像处理软件组成。MISIRoot可以在对根系干扰最小的情况下获取土壤中根系的高分辨率彩色图像,并以0.1 mm的精度测量根系的三维结构。在试验中,在玉米植株的V3、V4和V5生育期,使用MISIRoot对水分充足和干旱胁迫组进行测量。系统成功获取了根的RGB彩色图像和包含被检测根位置的三维点云数据。用MISIRoot测量的植物和未测量的植物(对照)与高光谱成像设备(参考)的结果进行仔细比较。两组植物在不同生育期间无显著差异。关键词:三维点云,低成本表型,微创根系测量,植物根系表型,机械臂应用,根系成像
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来源期刊
Transactions of the ASABE
Transactions of the ASABE AGRICULTURAL ENGINEERING-
CiteScore
2.30
自引率
0.00%
发文量
0
审稿时长
6 months
期刊介绍: This peer-reviewed journal publishes research that advances the engineering of agricultural, food, and biological systems. Submissions must include original data, analysis or design, or synthesis of existing information; research information for the improvement of education, design, construction, or manufacturing practice; or significant and convincing evidence that confirms and strengthens the findings of others or that revises ideas or challenges accepted theory.
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