The data and findings discussed here come from the cited paper and do not represent test results from VISPEK equipment.
When cutting sugarcane seeds, distinguishing between cane nodes and internodes is a prerequisite to avoid bud eyes. Whether the spectra can provide class information before cutting is the concern of this study. It uses contact scanning to compare signals at different locations, and also makes the evaluation boundary between spectral classification and mechanical cutting clearer.
Summary
The study collected visible shortwave near-infrared reflectance spectra from sugarcane nodes, bud points and adjacent internodes of the same variety of sugarcane, compared the preprocessing and classification models, and retained the test set for evaluation. The results support classification under laboratory contact conditions; classification F1 does not represent mechanical positioning error, bud damage rate or reliability of high-speed non-contact seed cutting.
(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
The identification of sugarcane nodes and internodes can add material status information to the seed cutting equipment, which needs to be verified later together with mechanical positioning.
Methods and Reference Measurements
55 mature sugarcane roots of the same variety were collected from two fields, and the nodes and adjacent internodes were selected from the upper, middle and lower parts. The light-shielding foam shell fixes the seven-core reflection probe and directly contacts the sugarcane surface; bud point scanning is added in four directions of internodes and sugarcane nodes. The 400–1000 nm spectra were subjected to various normalization, scattering or derivative treatments, and LDA, KNN and ANN were compared, and independent test set evaluation was retained.
Wavelengths and Acquisition Parameters
| Band/parameter | Original meaning and usage instructions |
|---|---|
| 400–1000 nm | The scope of analysis of this study |
| 350–2500 nm | Tungsten halogen light source coverage description, not the entire detection range of this study |
Key Findings
Derivative preprocessing ANN independent test F1=0.92; this is category discrimination performance, not mechanical cutting positioning error.
Limitations and Interpretation
Laboratory contact scanning of the same variety has not proven the reliability of high-speed non-contact seed cutting, and the F1 index does not include mechanical bud damage rate.
Image copyright belongs to the paper’s original authors. License: CC BY 4.0.
Source Paper
Veerasakulwat S, Sitorus A, Udompetaikul V. (2024). Rapid Classification of Sugarcane Nodes and Internodes Using Near-Infrared Spectroscopy and Machine Learning Techniques. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24227102
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VISPEK products shown for illustration; these were not the devices used in the cited study.