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Energy-Efficient and Economy-Sustainable Technology for Online Seed Viability Detection Using Hyper Spectrum.

Xiantao He1,2, Yichen Li1, Jinting Zhu1

  • 1College of Engineering, China Agricultural University, Beijing 100083, China.

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|February 27, 2026
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Summary

This study introduces a rapid, non-destructive hyperspectral imaging method for detecting mung bean seed viability. The new technique accurately identifies non-viable seeds, improving crop yield and reducing costs compared to traditional methods.

Keywords:
economy-sustainableenergy-efficienthyper spectrummung beanseed viability detection

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Area of Science:

  • Agricultural Engineering
  • Spectroscopy
  • Plant Science

Background:

  • Conventional mung bean seed viability testing is destructive, costly, and may cause contamination.
  • Identifying individual non-viable seeds is crucial for optimizing agricultural production and increasing revenue.

Purpose of the Study:

  • To develop an efficient, sustainable, and non-destructive online method for mung bean seed viability detection.
  • To compare the performance of different spectral bands and modeling algorithms for accurate viability assessment.

Main Methods:

  • Utilized hyperspectral imaging techniques in the visible and near-infrared spectra (380-980 nm).
  • Designed a specialized sample holder for stable spectral data collection.
  • Analyzed the effectiveness of Partial Least Squares (PLS), Support Vector Machine (SVM), and Extreme Learning Machine (ELM) algorithms.

Main Results:

  • The Partial Least Squares (PLS) algorithm achieved 98.8% accuracy in identifying non-viable seeds.
  • The developed method demonstrated significantly lower costs ($0.25) and energy consumption (0.05 kWh) per test compared to germination tests.
  • Sorting non-viable seeds increased revenue by $286.9 per hectare for seeds with an 85% germination rate.

Conclusions:

  • Hyperspectral imaging offers a rapid, non-destructive, and cost-effective solution for mung bean seed viability detection.
  • This technology promotes cleaner production by enabling precise removal of non-viable seeds without chemical treatments.
  • The method enhances agricultural efficiency and profitability through improved seed quality management.