Fast estimation of chlorophyll content on plant leaves using the light sensor of a smartphone
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| Format: | Artículo científico |
| Langue: | en |
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Universidad Nacional de Colombia
2017
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| _version_ | 1876430147297476608 |
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| author | Daniel Gaviria-Palacio |
| author_facet | Daniel Gaviria-Palacio |
| contents | Fast estimation of chlorophyll content on plant leaves using the light sensor of a smartphone Daniel Gaviria-Palacio Juan José Guáqueta-Restrepo Daniel Mauricio Pineda-Tobón Juan C. Pérez Ingeniería non Plant nutrition leaf light transmittance destructive chlorophyll meter Plant chlorophyll measurements can support nitrogen fertilization decisions. Using a 3D printed device and a red LED, here we tested the feasibility of using a smartphone ambient light sensor (ALS) to estimate leaf chlorophyll by light transmission. Its performance was evaluated by comparing 30 leaf sorghum (Sorghum bicolor (L.) Moench) transmission readings of the red LED (663 nm) obtained from the smartphone and a standard spectrometer, which showed a good coefficient of determination (r2 = 0.9067). Additionally, a comparison between the ALS and a SPAD 502TM (a commercial device for chlorophyll content estimation) was made with chrysanthemum (Dendranthema grandiflora Tzvelev) leaves, obtaining a good correlation between both measurements. Light transmission was also measured in S. bicolor flag leaves from plants growing in the greenhouse under increasing nitrogen fertilization. A clear fit between leaf light transmission and plant height was also observed, suggesting a simple, smartphone based estimation of plant’s chlorophyll. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49655603030 https://www.redalyc.org/journal/496/49655603030/ https://www.redalyc.org/journal/496/49655603030/html/ https://www.redalyc.org/journal/496/49655603030/49655603030.epub https://www.redalyc.org/journal/496/49655603030/movil 10.15446/dyna.v84n203.64316 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.203 Vol.84 |
| format | Artículo científico |
| id | redalyc_49655603030 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Fast estimation of chlorophyll content on plant leaves using the light sensor of a smartphone Daniel Gaviria-Palacio Ingeniería non Plant nutrition leaf light transmittance destructive chlorophyll meter Fast estimation of chlorophyll content on plant leaves using the light sensor of a smartphone Daniel Gaviria-Palacio Juan José Guáqueta-Restrepo Daniel Mauricio Pineda-Tobón Juan C. Pérez Ingeniería non Plant nutrition leaf light transmittance destructive chlorophyll meter Plant chlorophyll measurements can support nitrogen fertilization decisions. Using a 3D printed device and a red LED, here we tested the feasibility of using a smartphone ambient light sensor (ALS) to estimate leaf chlorophyll by light transmission. Its performance was evaluated by comparing 30 leaf sorghum (Sorghum bicolor (L.) Moench) transmission readings of the red LED (663 nm) obtained from the smartphone and a standard spectrometer, which showed a good coefficient of determination (r2 = 0.9067). Additionally, a comparison between the ALS and a SPAD 502TM (a commercial device for chlorophyll content estimation) was made with chrysanthemum (Dendranthema grandiflora Tzvelev) leaves, obtaining a good correlation between both measurements. Light transmission was also measured in S. bicolor flag leaves from plants growing in the greenhouse under increasing nitrogen fertilization. A clear fit between leaf light transmission and plant height was also observed, suggesting a simple, smartphone based estimation of plant’s chlorophyll. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49655603030 https://www.redalyc.org/journal/496/49655603030/ https://www.redalyc.org/journal/496/49655603030/html/ https://www.redalyc.org/journal/496/49655603030/49655603030.epub https://www.redalyc.org/journal/496/49655603030/movil 10.15446/dyna.v84n203.64316 en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.203 Vol.84 |
| title | Fast estimation of chlorophyll content on plant leaves using the light sensor of a smartphone |
| topic | Ingeniería non Plant nutrition leaf light transmittance destructive chlorophyll meter |
| url | https://www.redalyc.org/articulo.oa?id=49655603030 https://www.redalyc.org/journal/496/49655603030/ https://www.redalyc.org/journal/496/49655603030/html/ https://www.redalyc.org/journal/496/49655603030/49655603030.epub https://www.redalyc.org/journal/496/49655603030/movil |