Ospino-Villalba Karen, Gaviria Daniel, Pineda Daniel, Pérez Juan
Facultad de Ciencias Agrarias. Universidad Nacional de Colombia - Sede Medellín. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.
INGEOMEGA S.A.S Medellín, Colombia.
HardwareX. 2024 Oct 24;20:e00597. doi: 10.1016/j.ohx.2024.e00597. eCollection 2024 Dec.
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.
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。