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Identification of Maize Kernel Vigor under Different Accelerated Aging Times Using Hyperspectral Imaging.

Lei Feng1,2, Susu Zhu3,4, Chu Zhang5,6

  • 1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China. lfeng@zju.edu.cn.

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Hyperspectral imaging rapidly detects maize seed vigor and aging. This technique accurately classifies seed quality, grouping aged seeds into distinct categories for better quality control.

Keywords:
accelerated aginghyperspectral imaging technologymaize kernelprincipal component analysisstandard germination testssupport vector machine model

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Area of Science:

  • Agricultural Science
  • Spectroscopy
  • Data Science

Background:

  • Seed aging is irreversible, necessitating rapid and accurate vigor detection methods for agricultural applications.
  • Current methods for assessing seed vigor can be time-consuming, impacting efficiency for seed companies and farmers.

Purpose of the Study:

  • To develop and validate a rapid, non-destructive method for assessing maize seed vigor and aging using hyperspectral imaging.
  • To investigate the effectiveness of hyperspectral imaging combined with chemometric methods for classifying seed quality under accelerated aging conditions.

Main Methods:

  • Artificial accelerated aging was used to simulate maize kernel aging over 8 time regimes (0–120 h).
  • Hyperspectral imaging (874–1734 nm) was employed to capture spectral data from aged maize kernels.
  • Principal Component Analysis (PCA) and Support Vector Machine (SVM) models were utilized for qualitative analysis and classification based on full spectra and selected wavelengths.

Main Results:

  • Classification accuracy for fresh and short-term aged seeds (0–24 h) ranged from 61% to 100%, with higher accuracy for less aged seeds.
  • SVM models effectively grouped seeds into three categories based on aging duration: 0 h, 12–24 h, and 36–120 h.
  • Results from germination tests correlated well with hyperspectral imaging classifications, validating the technique's efficacy.

Conclusions:

  • Hyperspectral imaging combined with chemometric methods offers a promising approach for rapid and accurate evaluation of maize seed vigor and aging degree.
  • The developed technique can differentiate between various stages of seed aging, aiding in quality control and management.
  • This non-destructive method has the potential to significantly benefit the seed industry by improving efficiency and reliability in seed quality assessment.