In today's global agri-food industry, an astonishing amount of agricultural commodities worth trillions of dollars are produced, procured, stored, and consumed without undergoing standard quality assessment. The prevailing methods of quality assessment rely heavily on sensory-based manual testing or third-party laboratory tests, both of which suffer from issues such as time-consuming processes, error-proneness, and subjectivity. The absence of a standardized quality assessment and monitoring solution in the post-harvest agriculture supply chain gives rise to several challenges and negative consequences.