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SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring
A minirhizotron is an in situ root imaging system that captures components of root system architecture dynamics over time. Commercial minirhizotrons are expensive, limited to white-light imaging, and often need human intervention. The implementation of a minirhizotron needs to be low cost, automated...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038518/ https://www.ncbi.nlm.nih.gov/pubmed/32023975 http://dx.doi.org/10.3390/s20030787 |
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author | Rahman, Gazi Sohag, Hanif Chowdhury, Rakibul Wahid, Khan A. Dinh, Anh Arcand, Melissa Vail, Sally |
author_facet | Rahman, Gazi Sohag, Hanif Chowdhury, Rakibul Wahid, Khan A. Dinh, Anh Arcand, Melissa Vail, Sally |
author_sort | Rahman, Gazi |
collection | PubMed |
description | A minirhizotron is an in situ root imaging system that captures components of root system architecture dynamics over time. Commercial minirhizotrons are expensive, limited to white-light imaging, and often need human intervention. The implementation of a minirhizotron needs to be low cost, automated, and customizable to be effective and widely adopted. We present a newly designed root imaging system called SoilCam that addresses the above mentioned limitations. The imaging system is multi-modal, i.e., it supports both conventional white-light and multispectral imaging, with fully automated operations for long-term in-situ monitoring using wireless control and access. The system is capable of taking 360° images covering the entire area surrounding the tube. The image sensor can be customized depending on the spectral imaging requirements. The maximum achievable image quality of the system is 8 MP (Mega Pixel)/picture, which is equivalent to a 2500 DPI (dots per inch) image resolution. The length of time in the field can be extended with a rechargeable battery and solar panel connectivity. Offline image-processing software, with several image enhancement algorithms to eliminate motion blur and geometric distortion and to reconstruct the 360° panoramic view, is also presented. The system is tested in the field by imaging canola roots to show the performance advantages over commercial systems. |
format | Online Article Text |
id | pubmed-7038518 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70385182020-03-09 SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring Rahman, Gazi Sohag, Hanif Chowdhury, Rakibul Wahid, Khan A. Dinh, Anh Arcand, Melissa Vail, Sally Sensors (Basel) Article A minirhizotron is an in situ root imaging system that captures components of root system architecture dynamics over time. Commercial minirhizotrons are expensive, limited to white-light imaging, and often need human intervention. The implementation of a minirhizotron needs to be low cost, automated, and customizable to be effective and widely adopted. We present a newly designed root imaging system called SoilCam that addresses the above mentioned limitations. The imaging system is multi-modal, i.e., it supports both conventional white-light and multispectral imaging, with fully automated operations for long-term in-situ monitoring using wireless control and access. The system is capable of taking 360° images covering the entire area surrounding the tube. The image sensor can be customized depending on the spectral imaging requirements. The maximum achievable image quality of the system is 8 MP (Mega Pixel)/picture, which is equivalent to a 2500 DPI (dots per inch) image resolution. The length of time in the field can be extended with a rechargeable battery and solar panel connectivity. Offline image-processing software, with several image enhancement algorithms to eliminate motion blur and geometric distortion and to reconstruct the 360° panoramic view, is also presented. The system is tested in the field by imaging canola roots to show the performance advantages over commercial systems. MDPI 2020-01-31 /pmc/articles/PMC7038518/ /pubmed/32023975 http://dx.doi.org/10.3390/s20030787 Text en © 2020 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 Rahman, Gazi Sohag, Hanif Chowdhury, Rakibul Wahid, Khan A. Dinh, Anh Arcand, Melissa Vail, Sally SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring |
title | SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring |
title_full | SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring |
title_fullStr | SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring |
title_full_unstemmed | SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring |
title_short | SoilCam: A Fully Automated Minirhizotron using Multispectral Imaging for Root Activity Monitoring |
title_sort | soilcam: a fully automated minirhizotron using multispectral imaging for root activity monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038518/ https://www.ncbi.nlm.nih.gov/pubmed/32023975 http://dx.doi.org/10.3390/s20030787 |
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