The data and findings discussed here come from the cited paper and do not represent test results from VISPEK equipment.
The leaf clip-on collector makes field measurements more convenient, but the prediction goal needs to be made clear first: the SPAD relative reading output by the instrument is not the same as the chlorophyll mass concentration obtained by chemical analysis. This cantaloupe leaf study demonstrates how multi-channel acquisition, data transfer and regression modeling can be combined.
Summary
The study uses the SPAD instrument readings of cantaloupe leaves as a reference, uses multi-channel devices to collect signals, compares preprocessing and regression methods, and examines the impact of outlier processing on the results. The model is used to estimate SPAD relative readings; the sample size and random partitioning limit extrapolation, and the results after excluding anomalies cannot be understood as chemical chlorophyll content measurement accuracy.

(AI-generated conceptual illustration for context; it is not data from the paper, a photograph of the research equipment, or a VISPEK product diagram.)
Why It Matters
Multi-channel paired with SPAD provides an example of portable leaf clip development that can interface relative leaf color readings to field records.
Methods and Reference Measurements
The Xinjiang Academy of Agricultural Sciences measured 100 cantaloupe leaves of different plants in the field, avoiding thick leaf veins, and used the SPAD value of the TYS-4N chlorophyll meter as a reference. AS7341 multi-channel device covers 415–940 nm, ESP8266 transmission, blade clamping and whiteboard calibration, three-dimensional average and fixed LED gear position, optical path length and strict transmission and reflection geometry are not reported. Data 70:30 training/prediction, comparing twelve regressions and eight preprocessings; then using PCA and isolated forest to remove anomalies, and PBOR and RFR evaluation.
Wavelengths and Acquisition Parameters
| Band/parameter | Original meaning and usage instructions |
|---|---|
| 415–940 nm | Device discrete channel coverage, not continuous high-resolution spectrum |
| 515 nm | Raw Data ETR Best Single Channel |
| 590 nm | Channels used by partial linear models |
Key Findings
The original 515 nm ETR predicts R²=0.8035, RMSEP=1.5670 SPAD; after removing the anomalies, the full-channel PBOR-RFR is 0.8683, 1.1810 SPAD.
Limitations and Interpretation
Randomly divide a small number of samples and remove anomalies to improve results; SPAD cannot be equated to mg/g or claim original continuous NIR performance.



Image copyright belongs to the paper’s original authors. License: CC BY 4.0.
Source Paper
Li L, Guo J, Wang Q, Wang J, Liu Y, Shi Y. (2023). Design and Experiment of a Portable Near-Infrared Spectroscopy Device for Convenient Prediction of Leaf Chlorophyll Content. Sensors (Basel, Switzerland). https://doi.org/10.3390/s23208585
Contact Us
Whether portable equipment can be used for similar detection needs to be evaluated based on samples and experimental conditions, and the specific effect still needs to be verified through actual testing. Welcome to contact VISPEK to exchange your sample and testing needs, jointly evaluate experimental plans, and explore the feasibility of using our company's equipment for actual measurement and verification.
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VISPEK products shown for illustration; these were not the devices used in the cited study.
