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A Novel Approach to Obtain PAR with a Multi-Channel Spectral Microsensor, Suitable for Sensor Node Integration.
Eiko Bäumker1, Daniel Zimmermann1, Stefan Schierle1
1Laboratory for the Design of Microsystems, Department of Microsystems Engineering-IMTEK, University of Freiburg, 79110 Freiburg im Breisgau, Germany.
Sensors (Basel, Switzerland)
|June 2, 2021
Summary
We developed an affordable spectrometer to measure photosynthetically active radiation (PAR) accurately. This sensor provides detailed light quality information and can be integrated into wireless nodes for extensive field studies.
Area of Science:
- Plant science and remote sensing.
- Optical sensor technology.
Background:
- Accurate measurement of photosynthetically active radiation (PAR) is crucial for understanding plant growth and optimizing agricultural practices.
- Existing PAR sensors can be expensive and bulky, limiting widespread deployment.
Purpose of the Study:
- To develop and validate an inexpensive, compact multi-channel spectrometer for measuring PAR.
- To assess the sensor's accuracy and its capability for retrieving additional light quality information.
- To demonstrate the sensor's integration into a wireless system for long-term field monitoring.
Main Methods:
- Utilized an eight-channel spectrometer sensor (AS7341) with integrated optical filters and an analog-to-digital converter.
- Developed a calibration method for accurate PAR measurements.
- Integrated the sensor into a solar-powered wireless sensor node.
- Performed exemplary field measurements.
Main Results:
- The developed sensor accurately derives PAR with an accuracy of 14 µmol/m²/s.
- The sensor architecture allows for retrieval of additional light quality information, expressed as the Relative Light Quality Index (RLQI).
- Successful integration into a solar-powered wireless sensor node enables high-density, long-term field experiments.
Conclusions:
- The proposed spectrometer offers a cost-effective and accurate solution for PAR measurement.
- The sensor's ability to provide light quality data enhances its utility for ecological and agricultural research.
- The wireless sensor node facilitates scalable, long-term environmental monitoring for applications like Gross Primary Production (GPP) estimation.

