Emerging trends in the detection of adulteration in pulses: from phenotypic traits to imaging and molecular tools – a systematic review
Journal: Sustainable Food Technology
Year: 2026

Graphical abstract highlights the nutritional value of pulses and key adulteration types. It summarizes traditional and advanced detection methods, emphasizing computer vision and machine learning for rapid, non-destructive quality assessment.