PDF(Pubmed)
Abstract：
The increasing carbon dioxide (CO2) levels in the air pose a direct threat to all living organisms and the environment. Leveraging the ability of plants to absorb CO2 is one of the most effective methods for countering these rising CO2 levels. The present study aimes to develop a combo photosynthetic and chlorophyll-a sensor based on Non-Dispersive Infrared (NDIR) spectroscopy and an optical method. This sensor enables simultaneous, intensive measurement of net photosynthesis and chlorophyll-a content and yields accurate information. Comparative analysis of the efficacy of the sensors to that of a commercial instrument demonstrated that the measurement values obtained from the developed photosynthetic and chlorophyll-a sensors were not significantly different from those acquired with the commercial instrument (portable photosynthesis system LI-6400) and chlorophyll metre (SPAD-502), with a 95 % confidence level. Furthermore, the developed photosynthetic sensor could be used as a new correlation unit for chlorophyll-a content and net photosynthesis. Therefore, the sensor can be used to propose effective plantation processes to reduce atmospheric CO2 levels and in smart farming systems to control the quality of yields.
摘要：
空气中不断增加的二氧化碳（CO2）水平对所有生物体和环境构成直接威胁。利用植物吸收CO2的能力是应对这些不断上升的CO2水平的最有效方法之一。本研究旨在开发基于非色散红外（NDIR）光谱和光学方法的组合光合和叶绿素a传感器。这个传感器可以同时，净光合作用和叶绿素a含量的密集测量，并产生准确的信息。传感器与商用仪器的功效的比较分析表明，从开发的光合和叶绿素a传感器获得的测量值与商用仪器（便携式光合作用系统LI-6400）和叶绿素仪（SPAD-502）获得的测量值没有显着差异，95%的置信水平。此外，开发的光合传感器可用作叶绿素a含量和净光合作用的新相关单元。因此,该传感器可用于提出有效的种植过程，以降低大气中的二氧化碳水平，并在智能农业系统中控制产量质量。
