Toward an Automated System for Nondestructive Estimation of Plant Biomass
ABSTRACT Accurate and nondestructive estimation of plant biomass is crucial for optimizing plant productivity, but existing methods are often expensive and require complex experimental setups. To address this challenge, we developed an automated system for estimating plant root and shoot biomass ove...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2025-02-01
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| Series: | Plant Direct |
| Online Access: | https://doi.org/10.1002/pld3.70043 |
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| _version_ | 1849316370641059840 |
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| author | Randall Kliman Yuankai Huang Ye Zhao Yongsheng Chen |
| author_facet | Randall Kliman Yuankai Huang Ye Zhao Yongsheng Chen |
| author_sort | Randall Kliman |
| collection | DOAJ |
| description | ABSTRACT Accurate and nondestructive estimation of plant biomass is crucial for optimizing plant productivity, but existing methods are often expensive and require complex experimental setups. To address this challenge, we developed an automated system for estimating plant root and shoot biomass over the plant's lifecycle in hydroponic systems. This system employs a robotic arm and turntable to capture 40 images at equidistant angles around a hydroponically grown lettuce plant. These images are then processed into silhouettes and used in voxel‐based volumetric 3D reconstruction to produce detailed 3D models. We utilize a space carving method along with a raytracing‐based optical correction technique to create high‐accuracy reconstructions. Analysis of these models demonstrates that our system accurately reconstructs the plant root structure and provides precise measurements of root volume, which can be calibrated to indicate biomass. |
| format | Article |
| id | doaj-art-fbe65ea75e4842a7b60aa7ac3c832a16 |
| institution | Kabale University |
| issn | 2475-4455 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Plant Direct |
| spelling | doaj-art-fbe65ea75e4842a7b60aa7ac3c832a162025-08-20T03:51:45ZengWileyPlant Direct2475-44552025-02-0193n/an/a10.1002/pld3.70043Toward an Automated System for Nondestructive Estimation of Plant BiomassRandall Kliman0Yuankai Huang1Ye Zhao2Yongsheng Chen3School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia USASchool of Civil and Environmental Engineering Georgia Institute of Technology Atlanta Georgia USASchool of Mechanical Engineering Georgia Institute of Technology Atlanta Georgia USASchool of Civil and Environmental Engineering Georgia Institute of Technology Atlanta Georgia USAABSTRACT Accurate and nondestructive estimation of plant biomass is crucial for optimizing plant productivity, but existing methods are often expensive and require complex experimental setups. To address this challenge, we developed an automated system for estimating plant root and shoot biomass over the plant's lifecycle in hydroponic systems. This system employs a robotic arm and turntable to capture 40 images at equidistant angles around a hydroponically grown lettuce plant. These images are then processed into silhouettes and used in voxel‐based volumetric 3D reconstruction to produce detailed 3D models. We utilize a space carving method along with a raytracing‐based optical correction technique to create high‐accuracy reconstructions. Analysis of these models demonstrates that our system accurately reconstructs the plant root structure and provides precise measurements of root volume, which can be calibrated to indicate biomass.https://doi.org/10.1002/pld3.70043 |
| spellingShingle | Randall Kliman Yuankai Huang Ye Zhao Yongsheng Chen Toward an Automated System for Nondestructive Estimation of Plant Biomass Plant Direct |
| title | Toward an Automated System for Nondestructive Estimation of Plant Biomass |
| title_full | Toward an Automated System for Nondestructive Estimation of Plant Biomass |
| title_fullStr | Toward an Automated System for Nondestructive Estimation of Plant Biomass |
| title_full_unstemmed | Toward an Automated System for Nondestructive Estimation of Plant Biomass |
| title_short | Toward an Automated System for Nondestructive Estimation of Plant Biomass |
| title_sort | toward an automated system for nondestructive estimation of plant biomass |
| url | https://doi.org/10.1002/pld3.70043 |
| work_keys_str_mv | AT randallkliman towardanautomatedsystemfornondestructiveestimationofplantbiomass AT yuankaihuang towardanautomatedsystemfornondestructiveestimationofplantbiomass AT yezhao towardanautomatedsystemfornondestructiveestimationofplantbiomass AT yongshengchen towardanautomatedsystemfornondestructiveestimationofplantbiomass |