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Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping
In this paper, a new robotic architecture for plant phenotyping is being introduced. The architecture consists of two robotic platforms: an autonomous ground vehicle (Vinobot) and a mobile observation tower (Vinoculer). The ground vehicle collects data from individual plants, while the observation t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298785/ https://www.ncbi.nlm.nih.gov/pubmed/28124976 http://dx.doi.org/10.3390/s17010214 |
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author | Shafiekhani, Ali Kadam, Suhas Fritschi, Felix B. DeSouza, Guilherme N. |
author_facet | Shafiekhani, Ali Kadam, Suhas Fritschi, Felix B. DeSouza, Guilherme N. |
author_sort | Shafiekhani, Ali |
collection | PubMed |
description | In this paper, a new robotic architecture for plant phenotyping is being introduced. The architecture consists of two robotic platforms: an autonomous ground vehicle (Vinobot) and a mobile observation tower (Vinoculer). The ground vehicle collects data from individual plants, while the observation tower oversees an entire field, identifying specific plants for further inspection by the Vinobot. The advantage of this architecture is threefold: first, it allows the system to inspect large areas of a field at any time, during the day and night, while identifying specific regions affected by biotic and/or abiotic stresses; second, it provides high-throughput plant phenotyping in the field by either comprehensive or selective acquisition of accurate and detailed data from groups or individual plants; and third, it eliminates the need for expensive and cumbersome aerial vehicles or similarly expensive and confined field platforms. As the preliminary results from our algorithms for data collection and 3D image processing, as well as the data analysis and comparison with phenotype data collected by hand demonstrate, the proposed architecture is cost effective, reliable, versatile, and extendable. |
format | Online Article Text |
id | pubmed-5298785 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-52987852017-02-10 Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping Shafiekhani, Ali Kadam, Suhas Fritschi, Felix B. DeSouza, Guilherme N. Sensors (Basel) Article In this paper, a new robotic architecture for plant phenotyping is being introduced. The architecture consists of two robotic platforms: an autonomous ground vehicle (Vinobot) and a mobile observation tower (Vinoculer). The ground vehicle collects data from individual plants, while the observation tower oversees an entire field, identifying specific plants for further inspection by the Vinobot. The advantage of this architecture is threefold: first, it allows the system to inspect large areas of a field at any time, during the day and night, while identifying specific regions affected by biotic and/or abiotic stresses; second, it provides high-throughput plant phenotyping in the field by either comprehensive or selective acquisition of accurate and detailed data from groups or individual plants; and third, it eliminates the need for expensive and cumbersome aerial vehicles or similarly expensive and confined field platforms. As the preliminary results from our algorithms for data collection and 3D image processing, as well as the data analysis and comparison with phenotype data collected by hand demonstrate, the proposed architecture is cost effective, reliable, versatile, and extendable. MDPI 2017-01-23 /pmc/articles/PMC5298785/ /pubmed/28124976 http://dx.doi.org/10.3390/s17010214 Text en © 2017 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shafiekhani, Ali Kadam, Suhas Fritschi, Felix B. DeSouza, Guilherme N. Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping |
title | Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping |
title_full | Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping |
title_fullStr | Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping |
title_full_unstemmed | Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping |
title_short | Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping |
title_sort | vinobot and vinoculer: two robotic platforms for high-throughput field phenotyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298785/ https://www.ncbi.nlm.nih.gov/pubmed/28124976 http://dx.doi.org/10.3390/s17010214 |
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