Non-destructive measurement of eggshell strength using NIR spectroscopy and explainable artificial intelligence.

Journal: Journal of the science of food and agriculture
Published Date: Aug 15, 2025

Abstract

BACKGROUND: Eggshell strength is crucial for ensuring high-quality eggs, reducing breakage during handling, and meeting consumer expectations for freshness and integrity. Conventional methods of eggshell strength measurement are often destructive, time-consuming and unsuitable for large-scale applications. This study evaluated the potential of near-infrared (NIR) spectroscopy combined with explainable artificial intelligence (AI) as a rapid, non-destructive method for determining eggshell strength. Various multivariate analysis techniques were explored to enhance prediction accuracy, including spectral pre-processing and variable selection methods.

Authors

  • Md Wadud Ahmed
    Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
  • Sreezan Alam
    The Grainger College of Engineering, College of Agricultural, Consumer and Environmental Sciences, Department of Agricultural and Biological Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
  • Alin Khaliduzzaman
    Graduate School of Information Science, University of Hyogo, Kobe, Japan.
  • Jason Lee Emmert
    Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.
  • Mohammed Kamruzzaman
    Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA.

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