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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
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.
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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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