Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum
This article describes the design and field evaluation of a low-cost, high-throughput phenotyping robot for energy sorghum for use in biofuel production. High-throughput phenotyping approaches have been used in isolated growth chambers or greenhouses, but there is a growing need for field-based, pre...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Springer US
2018
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| Online Access: | http://hdl.handle.net/1721.1/118124 https://orcid.org/0000-0002-4618-7515 |
| _version_ | 1826190754399125504 |
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| author | Young, Sierra N Peschel, Joshua M Kayacan, Erkan |
| author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
| author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Young, Sierra N Peschel, Joshua M Kayacan, Erkan |
| author_sort | Young, Sierra N |
| collection | MIT |
| description | This article describes the design and field evaluation of a low-cost, high-throughput phenotyping robot for energy sorghum for use in biofuel production. High-throughput phenotyping approaches have been used in isolated growth chambers or greenhouses, but there is a growing need for field-based, precision agriculture techniques to measure large quantities of plants at high spatial and temporal resolutions throughout a growing season. A low-cost, tracked mobile robot was developed to collect phenotypic data for individual plants and tested on two separate energy sorghum fields in Central Illinois during summer 2016. Stereo imaging techniques determined plant height, and a depth sensor measured stem width near the base of the plant. A data capture rate of 0.4 ha, bi-weekly, was demonstrated for platform robustness consistent with various environmental conditions and crop yield modeling needs, and formative human–robot interaction observations were made during the field trials to address usability. This work is of interest to researchers and practitioners advancing the field of plant breeding because it demonstrates a new phenotyping platform that can measure individual plant architecture traits accurately (absolute measurement error at 15% for plant height and 13% for stem width) over large areas at a sub-daily frequency; furthermore, the design of this platform can be extended for phenotyping applications in maize or other agricultural row crops. |
| first_indexed | 2024-09-23T08:45:11Z |
| format | Article |
| id | mit-1721.1/118124 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T08:45:11Z |
| publishDate | 2018 |
| publisher | Springer US |
| record_format | dspace |
| spelling | mit-1721.1/1181242022-09-30T11:00:48Z Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum Young, Sierra N Peschel, Joshua M Kayacan, Erkan Massachusetts Institute of Technology. Department of Urban Studies and Planning Kayacan, Erkan This article describes the design and field evaluation of a low-cost, high-throughput phenotyping robot for energy sorghum for use in biofuel production. High-throughput phenotyping approaches have been used in isolated growth chambers or greenhouses, but there is a growing need for field-based, precision agriculture techniques to measure large quantities of plants at high spatial and temporal resolutions throughout a growing season. A low-cost, tracked mobile robot was developed to collect phenotypic data for individual plants and tested on two separate energy sorghum fields in Central Illinois during summer 2016. Stereo imaging techniques determined plant height, and a depth sensor measured stem width near the base of the plant. A data capture rate of 0.4 ha, bi-weekly, was demonstrated for platform robustness consistent with various environmental conditions and crop yield modeling needs, and formative human–robot interaction observations were made during the field trials to address usability. This work is of interest to researchers and practitioners advancing the field of plant breeding because it demonstrates a new phenotyping platform that can measure individual plant architecture traits accurately (absolute measurement error at 15% for plant height and 13% for stem width) over large areas at a sub-daily frequency; furthermore, the design of this platform can be extended for phenotyping applications in maize or other agricultural row crops. National Defense Science and Engineering Graduate (NDSEG) Fellowship (32 CFR 168a) 2018-09-18T12:54:05Z 2018-09-18T12:54:05Z 2018-09 2018-09-16T03:19:07Z Article http://purl.org/eprint/type/JournalArticle 1385-2256 1573-1618 http://hdl.handle.net/1721.1/118124 Young, Sierra N., Erkan Kayacan, and Joshua M. Peschel. “Design and Field Evaluation of a Ground Robot for High-Throughput Phenotyping of Energy Sorghum.” Precision Agriculture (September 15, 2018). https://orcid.org/0000-0002-4618-7515 en https://doi.org/10.1007/s11119-018-9601-6 Precision Agriculture Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ The Author(s) application/pdf Springer US Springer US |
| spellingShingle | Young, Sierra N Peschel, Joshua M Kayacan, Erkan Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum |
| title | Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum |
| title_full | Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum |
| title_fullStr | Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum |
| title_full_unstemmed | Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum |
| title_short | Design and field evaluation of a ground robot for high-throughput phenotyping of energy sorghum |
| title_sort | design and field evaluation of a ground robot for high throughput phenotyping of energy sorghum |
| url | http://hdl.handle.net/1721.1/118124 https://orcid.org/0000-0002-4618-7515 |
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