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

机译:使用智能手机的光传感器快速估算植物叶片上的叶绿素含量

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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 (r 2 = 0.9067). Additionally, a comparison between the ALS and a SPAD 502 TM (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.
机译:植物叶绿素的测量可以支持氮肥的决策。我们使用3D打印设备和红色LED,在此测试了使用智能手机环境光传感器(ALS)通过光透射估算叶绿素的可行性。通过比较从智能手机和标准光谱仪获得的红色LED(663 nm)的30个叶高粱(Sorghum bicolor(L.)Moench)透射高读数来评估其性能,该读数显示出良好的测定系数(r 2 = 0.9067) 。另外,用菊花(Dendranthema grandiflora Tzvelev)叶对ALS和SPAD 502 TM(用于叶绿素含量估算的商用设备)进行了比较,在两个测量值之间获得了良好的相关性。还测量了在增加氮肥的情况下在温室中生长的植物的双色旗叶中的透光率。还观察到了叶片透光率与植物高度之间的明确契合,表明基于智能手机的植物叶绿素的简单估算。

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