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SPOT: Scanning plant IoT facility for high-throughput plant phenotyping
Many plant phenotyping platforms have been kept out of the reach of smaller labs and institutions due to high cost and proprietary software. The Scanning Plant IoT (SPOT) Facility, located at the University of Florida, is a mobile, laboratory-based platform that facilitates open-source collection of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485143/ https://www.ncbi.nlm.nih.gov/pubmed/37693634 http://dx.doi.org/10.1016/j.ohx.2023.e00468 |
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author | Lantin, Stephen McCourt, Kelli Butcher, Nicholas Puri, Varun Esposito, Martha Sanchez, Sasha Ramirez-Loza, Francisco McLamore, Eric Correll, Melanie Singh, Aditya |
author_facet | Lantin, Stephen McCourt, Kelli Butcher, Nicholas Puri, Varun Esposito, Martha Sanchez, Sasha Ramirez-Loza, Francisco McLamore, Eric Correll, Melanie Singh, Aditya |
author_sort | Lantin, Stephen |
collection | PubMed |
description | Many plant phenotyping platforms have been kept out of the reach of smaller labs and institutions due to high cost and proprietary software. The Scanning Plant IoT (SPOT) Facility, located at the University of Florida, is a mobile, laboratory-based platform that facilitates open-source collection of high-quality, interoperable plant phenotypic data. It consists of three main sensors: a hyperspectral sensor, a thermal camera, and a LiDAR camera. Real-time data from the sensors can be collected in its 10 ft. × 10 ft. scanning region. The mobility of the device allows its use in large growth chambers, environmentally controlled rooms, or greenhouses. Sensors are oriented nadir and positioned via computer numerical control of stepper motors. In a preliminary experiment, data gathered from SPOT was used to autonomously and nondestructively differentiate between cultivars. |
format | Online Article Text |
id | pubmed-10485143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-104851432023-09-09 SPOT: Scanning plant IoT facility for high-throughput plant phenotyping Lantin, Stephen McCourt, Kelli Butcher, Nicholas Puri, Varun Esposito, Martha Sanchez, Sasha Ramirez-Loza, Francisco McLamore, Eric Correll, Melanie Singh, Aditya HardwareX Article Many plant phenotyping platforms have been kept out of the reach of smaller labs and institutions due to high cost and proprietary software. The Scanning Plant IoT (SPOT) Facility, located at the University of Florida, is a mobile, laboratory-based platform that facilitates open-source collection of high-quality, interoperable plant phenotypic data. It consists of three main sensors: a hyperspectral sensor, a thermal camera, and a LiDAR camera. Real-time data from the sensors can be collected in its 10 ft. × 10 ft. scanning region. The mobility of the device allows its use in large growth chambers, environmentally controlled rooms, or greenhouses. Sensors are oriented nadir and positioned via computer numerical control of stepper motors. In a preliminary experiment, data gathered from SPOT was used to autonomously and nondestructively differentiate between cultivars. Elsevier 2023-08-26 /pmc/articles/PMC10485143/ /pubmed/37693634 http://dx.doi.org/10.1016/j.ohx.2023.e00468 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Lantin, Stephen McCourt, Kelli Butcher, Nicholas Puri, Varun Esposito, Martha Sanchez, Sasha Ramirez-Loza, Francisco McLamore, Eric Correll, Melanie Singh, Aditya SPOT: Scanning plant IoT facility for high-throughput plant phenotyping |
title | SPOT: Scanning plant IoT facility for high-throughput plant phenotyping |
title_full | SPOT: Scanning plant IoT facility for high-throughput plant phenotyping |
title_fullStr | SPOT: Scanning plant IoT facility for high-throughput plant phenotyping |
title_full_unstemmed | SPOT: Scanning plant IoT facility for high-throughput plant phenotyping |
title_short | SPOT: Scanning plant IoT facility for high-throughput plant phenotyping |
title_sort | spot: scanning plant iot facility for high-throughput plant phenotyping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10485143/ https://www.ncbi.nlm.nih.gov/pubmed/37693634 http://dx.doi.org/10.1016/j.ohx.2023.e00468 |
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