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Background: Plant root phenotyping technologies play an important role in breeding, plant protection, and other plant science research projects. The root phenotyping customers urgently need technologies that are low-cost, in situ, non-destructive to the roots, and suitable for the natural soil environment. Many recently developed root phenotyping methods such as minirhizotron, X-CT, and MRI scanners have their unique advantages in observing plant roots, but they also have disadvantages and cannot meet all the critical requirements simultaneously.
Results: The study in this paper focuses on the development of a new plant root phenotyping robot that is minimally invasive to plants and working in situ inside natural soil, called “MISIRoot”. The MISIRoot system mainly consists of an industrial-level robotic arm, a mini-size camera with lighting set, a plant pot holding platform, and the image processing software for root recognition and feature extraction. MISIRoot can take high-resolution color images of the roots in soil with minimal disturbance to the root and reconstruct the plant roots’ three-dimensional (3D) structure at an accuracy of 0.1 mm. In a test assay, well-watered and drought-stressed groups of corn plants were measured by MISIRoot at V3, V4, and V5 stages. The system successfully acquired the RGB color images of the roots and extracted the 3D points cloud data containing the locations of the detected roots. The plants measured by MISIRoot and plants not measured (control) were carefully compared with the results from the Hyperspectral Imaging Facility (reference). No significant differences were found between the two groups of plants at different growth stages.
Conclusion: The MISIRoot system recently developed at Purdue University has been proved effective in root phenotyping with multiple advantages: With a comparatively low cost and minimal invasion to the plant, this system can automatically measure the root’s 3D structure and take color images of the roots in ordinary soil media, and in situ. This system provides a new option for root phenotyping researchers and has a potential to be applied in a wide range of research topics such as breeding, plant protection and so on.
Keywords
Plant root phenotyping, root imaging, 3D point cloud, minimally invasive root measurement, low-cost root phenotyping, robotic arm application
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
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Prescreen
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Complete author information
Appropriate declaration statements
Potential risks to human health
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History
CURRENT STATUS: Posted
The most recent version of this article is available here.
No community comments so far
Version 1
Posted 29 Apr, 2020
No comments provided
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License:
This work is licensed under a CC BY 4.0 License. Read Full License
The most recent version of this article is available here.
Background: Plant root phenotyping technologies play an important role in breeding, plant protection, and other plant science research projects. The root phenotyping customers urgently need technologies that are low-cost, in situ, non-destructive to the roots, and suitable for the natural soil environment. Many recently developed root phenotyping methods such as minirhizotron, X-CT, and MRI scanners have their unique advantages in observing plant roots, but they also have disadvantages and cannot meet all the critical requirements simultaneously.
Results: The study in this paper focuses on the development of a new plant root phenotyping robot that is minimally invasive to plants and working in situ inside natural soil, called “MISIRoot”. The MISIRoot system mainly consists of an industrial-level robotic arm, a mini-size camera with lighting set, a plant pot holding platform, and the image processing software for root recognition and feature extraction. MISIRoot can take high-resolution color images of the roots in soil with minimal disturbance to the root and reconstruct the plant roots’ three-dimensional (3D) structure at an accuracy of 0.1 mm. In a test assay, well-watered and drought-stressed groups of corn plants were measured by MISIRoot at V3, V4, and V5 stages. The system successfully acquired the RGB color images of the roots and extracted the 3D points cloud data containing the locations of the detected roots. The plants measured by MISIRoot and plants not measured (control) were carefully compared with the results from the Hyperspectral Imaging Facility (reference). No significant differences were found between the two groups of plants at different growth stages.
Conclusion: The MISIRoot system recently developed at Purdue University has been proved effective in root phenotyping with multiple advantages: With a comparatively low cost and minimal invasion to the plant, this system can automatically measure the root’s 3D structure and take color images of the roots in ordinary soil media, and in situ. This system provides a new option for root phenotyping researchers and has a potential to be applied in a wide range of research topics such as breeding, plant protection and so on.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
The full text of this article is available to read as a PDF.
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