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一种用于植物叶片叶绿素测量的可3D打印智能手机配件。

A 3D-Printable smartphone accessory for plant leaf chlorophyll measurement.

作者信息

Ospino-Villalba Karen, Gaviria Daniel, Pineda Daniel, Pérez Juan

机构信息

Facultad de Ciencias Agrarias. Universidad Nacional de Colombia - Sede Medellín. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.

INGEOMEGA S.A.S Medellín, Colombia.

出版信息

HardwareX. 2024 Oct 24;20:e00597. doi: 10.1016/j.ohx.2024.e00597. eCollection 2024 Dec.

DOI:10.1016/j.ohx.2024.e00597
PMID:39553918
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11565034/
Abstract

Plant health and nutrition are universally inferred from leaf chlorophyll content. This research developed a 3D-printed accessory which attaches to the ambient light sensor in a smartphone to estimate leaf chlorophyll content in five tropical plant species. It unveils 3D printing files and assembling details to freely built the accessory anywhere. It is made from a 3D-printed body, a lighting circuit and common spare parts to measure a 663 nm LED band transmission through intact plant leaves. This chlorophyll absorbing light band allows to measure its concentration. The device was tested by comparing its readings to the universal spectrophotometric test or by leaf parallel measurements with a standard SPAD 502™ meter, and it performed as well as these universal standard methods. Due to well-studied relationships between chlorophyll concentration and nutritional status of plants, and the ubiquitous presence of other sensors in smartphones today, the independent improvement and adoption of this smartphone-connected system would ease the spread of precision farming and digital agronomy practices throughout the different scales of agriculture.

摘要

植物健康状况和营养状况通常可通过叶片叶绿素含量推断得出。本研究开发了一种3D打印配件,该配件可连接到智能手机中的环境光传感器,以估算五种热带植物物种的叶片叶绿素含量。它公布了3D打印文件和组装细节,以便在任何地方都能自由制作该配件。它由一个3D打印主体、一个照明电路和普通备件组成,用于测量663纳米LED波段透过完整植物叶片的透光率。这个叶绿素吸收光带可用于测量其浓度。通过将该设备的读数与通用分光光度测试结果进行比较,或与标准SPAD 502™ 测量仪进行叶片平行测量,对该设备进行了测试,其表现与这些通用标准方法相当。由于叶绿素浓度与植物营养状况之间的关系已得到充分研究,且如今智能手机中普遍存在其他传感器,因此独立改进和采用这种与智能手机相连的系统将有助于精准农业和数字农艺实践在不同农业规模中推广。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/1aa2f04a02fa/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/7ae9f7563d11/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/a02390a903b7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/16e8f5368380/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/39f2830eb1bd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/e42bcbe71372/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/60ac9271b9a8/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/f1bb0760d13a/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/14a6d5a5d6ac/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/1aa2f04a02fa/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/7ae9f7563d11/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/a02390a903b7/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/16e8f5368380/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/39f2830eb1bd/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/e42bcbe71372/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/60ac9271b9a8/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/f1bb0760d13a/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/14a6d5a5d6ac/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f7f9/11565034/1aa2f04a02fa/gr8.jpg

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引用本文的文献

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本文引用的文献

1
SPAD-based leaf nitrogen estimation is impacted by environmental factors and crop leaf characteristics.基于土壤-植物分析发展(SPAD)值的叶片氮含量估算受环境因素和作物叶片特性的影响。
Sci Rep. 2015 Aug 25;5:13389. doi: 10.1038/srep13389.
2
Quantification of plant chlorophyll content using Google Glass.使用谷歌眼镜对植物叶绿素含量进行定量分析。
Lab Chip. 2015 Apr 7;15(7):1708-16. doi: 10.1039/c4lc01279h. Epub 2015 Feb 11.
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In situ measurement of leaf chlorophyll concentration: analysis of the optical/absolute relationship.叶片叶绿素浓度的原位测量:光学/绝对关系分析
Plant Cell Environ. 2014 Nov;37(11):2508-20. doi: 10.1111/pce.12324. Epub 2014 May 6.
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The absorption spectra of chlorophyll and related compounds.叶绿素及相关化合物的吸收光谱。
Chem Rev. 1950 Oct;47(2):175-95. doi: 10.1021/cr60147a001.
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Photosynth Res. 1995 Jan;46(3):467-72. doi: 10.1007/BF00032301.
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Changes in leaf optical properties associated with light-dependent chloroplast movements.叶片光学性质随光依赖性叶绿体运动的变化。
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SPAD chlorophyll meter reading can be pronouncedly affected by chloroplast movement.SPAD 叶绿素仪读数会受到叶绿体运动的明显影响。
Photosynth Res. 2010 Sep;105(3):265-71. doi: 10.1007/s11120-010-9587-z. Epub 2010 Jul 27.
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The chloroplast avoidance response decreases internal conductance to CO2 diffusion in Arabidopsis thaliana leaves.叶绿体回避反应降低了拟南芥叶片中二氧化碳扩散的内部传导率。
Plant Cell Environ. 2008 Nov;31(11):1688-700. doi: 10.1111/j.1365-3040.2008.01875.x. Epub 2008 Sep 16.
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Evaluating the relationship between leaf chlorophyll concentration and SPAD-502 chlorophyll meter readings.评估叶片叶绿素浓度与SPAD - 502叶绿素仪读数之间的关系。
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