Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Rahman, Gazi, Sohag, Hanif, Chowdhury, Rakibul, Wahid, Khan A., Dinh, Anh, Arcand, Melissa, Vail, Sally
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
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
_version_ 1783500658901516288
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
work_keys_str_mv AT rahmangazi soilcamafullyautomatedminirhizotronusingmultispectralimagingforrootactivitymonitoring
AT sohaghanif soilcamafullyautomatedminirhizotronusingmultispectralimagingforrootactivitymonitoring
AT chowdhuryrakibul soilcamafullyautomatedminirhizotronusingmultispectralimagingforrootactivitymonitoring
AT wahidkhana soilcamafullyautomatedminirhizotronusingmultispectralimagingforrootactivitymonitoring
AT dinhanh soilcamafullyautomatedminirhizotronusingmultispectralimagingforrootactivitymonitoring
AT arcandmelissa soilcamafullyautomatedminirhizotronusingmultispectralimagingforrootactivitymonitoring
AT vailsally soilcamafullyautomatedminirhizotronusingmultispectralimagingforrootactivitymonitoring