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Development of a Quick-Install Rapid Phenotyping System
In recent years, there has been a growing need for accessible High-Throughput Plant Phenotyping (HTPP) platforms that can take measurements of plant traits in open fields. This paper presents a phenotyping system designed to address this issue by combining ultrasonic and multispectral sensing of the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181467/ https://www.ncbi.nlm.nih.gov/pubmed/37177457 http://dx.doi.org/10.3390/s23094253 |
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author | Buelvas, Roberto M. Adamchuk, Viacheslav I. Lan, John Hoyos-Villegas, Valerio Whitmore, Arlene Stromvik, Martina V. |
author_facet | Buelvas, Roberto M. Adamchuk, Viacheslav I. Lan, John Hoyos-Villegas, Valerio Whitmore, Arlene Stromvik, Martina V. |
author_sort | Buelvas, Roberto M. |
collection | PubMed |
description | In recent years, there has been a growing need for accessible High-Throughput Plant Phenotyping (HTPP) platforms that can take measurements of plant traits in open fields. This paper presents a phenotyping system designed to address this issue by combining ultrasonic and multispectral sensing of the crop canopy with other diverse measurements under varying environmental conditions. The system demonstrates a throughput increase by a factor of 50 when compared to a manual setup, allowing for efficient mapping of crop status across a field with crops grown in rows of any spacing. Tests presented in this paper illustrate the type of experimentation that can be performed with the platform, emphasizing the output from each sensor. The system integration, versatility, and ergonomics are the most significant contributions. The presented system can be used for studying plant responses to different treatments and/or stresses under diverse farming practices in virtually any field environment. It was shown that crop height and several vegetation indices, most of them common indicators of plant physiological status, can be easily paired with corresponding environmental conditions to facilitate data analysis at the fine spatial scale. |
format | Online Article Text |
id | pubmed-10181467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101814672023-05-13 Development of a Quick-Install Rapid Phenotyping System Buelvas, Roberto M. Adamchuk, Viacheslav I. Lan, John Hoyos-Villegas, Valerio Whitmore, Arlene Stromvik, Martina V. Sensors (Basel) Article In recent years, there has been a growing need for accessible High-Throughput Plant Phenotyping (HTPP) platforms that can take measurements of plant traits in open fields. This paper presents a phenotyping system designed to address this issue by combining ultrasonic and multispectral sensing of the crop canopy with other diverse measurements under varying environmental conditions. The system demonstrates a throughput increase by a factor of 50 when compared to a manual setup, allowing for efficient mapping of crop status across a field with crops grown in rows of any spacing. Tests presented in this paper illustrate the type of experimentation that can be performed with the platform, emphasizing the output from each sensor. The system integration, versatility, and ergonomics are the most significant contributions. The presented system can be used for studying plant responses to different treatments and/or stresses under diverse farming practices in virtually any field environment. It was shown that crop height and several vegetation indices, most of them common indicators of plant physiological status, can be easily paired with corresponding environmental conditions to facilitate data analysis at the fine spatial scale. MDPI 2023-04-25 /pmc/articles/PMC10181467/ /pubmed/37177457 http://dx.doi.org/10.3390/s23094253 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Buelvas, Roberto M. Adamchuk, Viacheslav I. Lan, John Hoyos-Villegas, Valerio Whitmore, Arlene Stromvik, Martina V. Development of a Quick-Install Rapid Phenotyping System |
title | Development of a Quick-Install Rapid Phenotyping System |
title_full | Development of a Quick-Install Rapid Phenotyping System |
title_fullStr | Development of a Quick-Install Rapid Phenotyping System |
title_full_unstemmed | Development of a Quick-Install Rapid Phenotyping System |
title_short | Development of a Quick-Install Rapid Phenotyping System |
title_sort | development of a quick-install rapid phenotyping system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181467/ https://www.ncbi.nlm.nih.gov/pubmed/37177457 http://dx.doi.org/10.3390/s23094253 |
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