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Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring
Sustainably using resources, while reducing the use of chemicals, is of major importance in agriculture, including turfgrass monitoring. Today, crop monitoring often uses camera-based drone sensing, offering an accurate evaluation but typically requiring a technical operator. To enable autonomous an...
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/PMC10007062/ https://www.ncbi.nlm.nih.gov/pubmed/36904674 http://dx.doi.org/10.3390/s23052470 |
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author | Smeesters, Lien Verbaenen, Jef Schifano, Luca Vervaeke, Michael Thienpont, Hugo Teti, Giancarlo Forconi, Alessio Lulli, Filippo |
author_facet | Smeesters, Lien Verbaenen, Jef Schifano, Luca Vervaeke, Michael Thienpont, Hugo Teti, Giancarlo Forconi, Alessio Lulli, Filippo |
author_sort | Smeesters, Lien |
collection | PubMed |
description | Sustainably using resources, while reducing the use of chemicals, is of major importance in agriculture, including turfgrass monitoring. Today, crop monitoring often uses camera-based drone sensing, offering an accurate evaluation but typically requiring a technical operator. To enable autonomous and continuous monitoring, we propose a novel five-channel multispectral camera design suitable for integrating it inside lighting fixtures and enabling the sensing of a multitude of vegetation indices by covering visible, near-infrared and thermal wavelength bands. To limit the number of cameras, and in contrast to the drone-sensing systems that show a small field of view, a novel wide-field-of-view imaging design is proposed, featuring a field of view exceeding 164°. This paper presents the development of the five-channel wide-field-of-view imaging design, starting from the optimization of the design parameters and moving toward a demonstrator setup and optical characterization. All imaging channels show an excellent image quality, indicated by an MTF exceeding 0.5 at a spatial frequency of 72 lp/mm for the visible and near-infrared imaging designs and 27 lp/mm for the thermal channel. Consequently, we believe our novel five-channel imaging design paves the way toward autonomous crop monitoring while optimizing resource usage. |
format | Online Article Text |
id | pubmed-10007062 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100070622023-03-12 Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring Smeesters, Lien Verbaenen, Jef Schifano, Luca Vervaeke, Michael Thienpont, Hugo Teti, Giancarlo Forconi, Alessio Lulli, Filippo Sensors (Basel) Article Sustainably using resources, while reducing the use of chemicals, is of major importance in agriculture, including turfgrass monitoring. Today, crop monitoring often uses camera-based drone sensing, offering an accurate evaluation but typically requiring a technical operator. To enable autonomous and continuous monitoring, we propose a novel five-channel multispectral camera design suitable for integrating it inside lighting fixtures and enabling the sensing of a multitude of vegetation indices by covering visible, near-infrared and thermal wavelength bands. To limit the number of cameras, and in contrast to the drone-sensing systems that show a small field of view, a novel wide-field-of-view imaging design is proposed, featuring a field of view exceeding 164°. This paper presents the development of the five-channel wide-field-of-view imaging design, starting from the optimization of the design parameters and moving toward a demonstrator setup and optical characterization. All imaging channels show an excellent image quality, indicated by an MTF exceeding 0.5 at a spatial frequency of 72 lp/mm for the visible and near-infrared imaging designs and 27 lp/mm for the thermal channel. Consequently, we believe our novel five-channel imaging design paves the way toward autonomous crop monitoring while optimizing resource usage. MDPI 2023-02-23 /pmc/articles/PMC10007062/ /pubmed/36904674 http://dx.doi.org/10.3390/s23052470 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 Smeesters, Lien Verbaenen, Jef Schifano, Luca Vervaeke, Michael Thienpont, Hugo Teti, Giancarlo Forconi, Alessio Lulli, Filippo Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring |
title | Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring |
title_full | Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring |
title_fullStr | Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring |
title_full_unstemmed | Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring |
title_short | Wide-Field-of-View Multispectral Camera Design for Continuous Turfgrass Monitoring |
title_sort | wide-field-of-view multispectral camera design for continuous turfgrass monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007062/ https://www.ncbi.nlm.nih.gov/pubmed/36904674 http://dx.doi.org/10.3390/s23052470 |
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