Fast estimation of chlorophyll content on plant leaves using the light sensor of a smartphone

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...

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Bibliographic Details
Published in:Dyna (Medellín, Colombia) Colombia), 2017-12, Vol.84 (203), p.233-239
Main Authors: Pineda-Tobón, Daniel Mauricio, Pérez, Juan Carlos, Gaviria-Palacio, Daniel, Guáqueta-Restrepo, Juan José
Format: Article
Language:English
Subjects:
Binoculars
Chlorophyll
Correlation analysis
destructive chlorophyll meter
ENGINEERING, MULTIDISCIPLINARY
Feasibility studies
Fertilization
leaf light transmittance
Leaves
Light
Light emitting diodes
Light transmission
medición no destructiva de clorofila
Nitrogen
non
non-destructive chlorophyll meter
Nutrición vegetal
Plant nutrition
Smartphones
Sorghum
Three dimensional printing
transmisión de luz por hojas
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Summary: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.
ISSN:0012-7353
2346-2183
DOI:10.15446/dyna.v84n203.64316