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Optical Method for Estimating the Chlorophyll Contents in Plant Leaves
This work introduces a new vision-based approach for estimating chlorophyll contents in a plant leaf using reflectance and transmittance as base parameters. Images of the top and underside of the leaf are captured. To estimate the base parameters (reflectance/transmittance), a novel optical arrangem...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855050/ https://www.ncbi.nlm.nih.gov/pubmed/29470432 http://dx.doi.org/10.3390/s18020650 |
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author | Pérez-Patricio, Madaín Camas-Anzueto, Jorge Luis Sanchez-Alegría, Avisaí Aguilar-González, Abiel Gutiérrez-Miceli, Federico Escobar-Gómez, Elías Voisin, Yvon Rios-Rojas, Carlos Grajales-Coutiño, Ruben |
author_facet | Pérez-Patricio, Madaín Camas-Anzueto, Jorge Luis Sanchez-Alegría, Avisaí Aguilar-González, Abiel Gutiérrez-Miceli, Federico Escobar-Gómez, Elías Voisin, Yvon Rios-Rojas, Carlos Grajales-Coutiño, Ruben |
author_sort | Pérez-Patricio, Madaín |
collection | PubMed |
description | This work introduces a new vision-based approach for estimating chlorophyll contents in a plant leaf using reflectance and transmittance as base parameters. Images of the top and underside of the leaf are captured. To estimate the base parameters (reflectance/transmittance), a novel optical arrangement is proposed. The chlorophyll content is then estimated by using linear regression where the inputs are the reflectance and transmittance of the leaf. Performance of the proposed method for chlorophyll content estimation was compared with a spectrophotometer and a Soil Plant Analysis Development (SPAD) meter. Chlorophyll content estimation was realized for Lactuca sativa L., Azadirachta indica, Canavalia ensiforme, and Lycopersicon esculentum. Experimental results showed that—in terms of accuracy and processing speed—the proposed algorithm outperformed many of the previous vision-based approach methods that have used SPAD as a reference device. On the other hand, the accuracy reached is 91% for crops such as Azadirachta indica, where the chlorophyll value was obtained using the spectrophotometer. Additionally, it was possible to achieve an estimation of the chlorophyll content in the leaf every 200 ms with a low-cost camera and a simple optical arrangement. This non-destructive method increased accuracy in the chlorophyll content estimation by using an optical arrangement that yielded both the reflectance and transmittance information, while the required hardware is cheap. |
format | Online Article Text |
id | pubmed-5855050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58550502018-03-20 Optical Method for Estimating the Chlorophyll Contents in Plant Leaves Pérez-Patricio, Madaín Camas-Anzueto, Jorge Luis Sanchez-Alegría, Avisaí Aguilar-González, Abiel Gutiérrez-Miceli, Federico Escobar-Gómez, Elías Voisin, Yvon Rios-Rojas, Carlos Grajales-Coutiño, Ruben Sensors (Basel) Article This work introduces a new vision-based approach for estimating chlorophyll contents in a plant leaf using reflectance and transmittance as base parameters. Images of the top and underside of the leaf are captured. To estimate the base parameters (reflectance/transmittance), a novel optical arrangement is proposed. The chlorophyll content is then estimated by using linear regression where the inputs are the reflectance and transmittance of the leaf. Performance of the proposed method for chlorophyll content estimation was compared with a spectrophotometer and a Soil Plant Analysis Development (SPAD) meter. Chlorophyll content estimation was realized for Lactuca sativa L., Azadirachta indica, Canavalia ensiforme, and Lycopersicon esculentum. Experimental results showed that—in terms of accuracy and processing speed—the proposed algorithm outperformed many of the previous vision-based approach methods that have used SPAD as a reference device. On the other hand, the accuracy reached is 91% for crops such as Azadirachta indica, where the chlorophyll value was obtained using the spectrophotometer. Additionally, it was possible to achieve an estimation of the chlorophyll content in the leaf every 200 ms with a low-cost camera and a simple optical arrangement. This non-destructive method increased accuracy in the chlorophyll content estimation by using an optical arrangement that yielded both the reflectance and transmittance information, while the required hardware is cheap. MDPI 2018-02-22 /pmc/articles/PMC5855050/ /pubmed/29470432 http://dx.doi.org/10.3390/s18020650 Text en © 2018 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 Pérez-Patricio, Madaín Camas-Anzueto, Jorge Luis Sanchez-Alegría, Avisaí Aguilar-González, Abiel Gutiérrez-Miceli, Federico Escobar-Gómez, Elías Voisin, Yvon Rios-Rojas, Carlos Grajales-Coutiño, Ruben Optical Method for Estimating the Chlorophyll Contents in Plant Leaves |
title | Optical Method for Estimating the Chlorophyll Contents in Plant Leaves |
title_full | Optical Method for Estimating the Chlorophyll Contents in Plant Leaves |
title_fullStr | Optical Method for Estimating the Chlorophyll Contents in Plant Leaves |
title_full_unstemmed | Optical Method for Estimating the Chlorophyll Contents in Plant Leaves |
title_short | Optical Method for Estimating the Chlorophyll Contents in Plant Leaves |
title_sort | optical method for estimating the chlorophyll contents in plant leaves |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855050/ https://www.ncbi.nlm.nih.gov/pubmed/29470432 http://dx.doi.org/10.3390/s18020650 |
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