Physics-driven digital twins to quantify the impact of pre- and postharvest variability on the end quality evolution of orange fruit

• DOI: 10.1016/j.resconrec.2022.106585
• Publication Date: 2022-08-04T23:11:28Z
• Authors: Daniel Onwude; Flora Bahrami; Chandrima Shrivas...; Tarl Berry; Paul Cronje; Jade North; Nicola Kirsten; Seraina Schudel; Eleonora Crenna; Kanaha Shoji; Thijs Defraeye
• Keywords: 0404 agricultural biotechnology; 04 agricultural and veterinary sciences; Citrus fruit; Cold chain; Cultural practices; Food waste; Horticulture; Resource conservation

Currently, there are differences in the quality loss between individual fruit upon arrival at retail. These stem from pre-harvest biological variability harvest and postharvest variations hygrothermal conditions refrigerated shipments. The impact of these on final each that reaches consumers remains largely uncharted. In this study, we addressed knowledge gap by developing physics-based digital twins orange to unveil how affect Markov chain Monte Carlo method was used generate a realistic 'virtual' population 1000 fruits harvest. Afterwards, shipments several metrics, including mass loss, index (FQI), remaining shelf life (RSL), chilling injury severity (CI), total soluble solids (TSS), color, Mediterranean fly (MFF) mortality quantified. Results showed causes oranges retail up 1.2%, FQI 5% RSL more than 2 days. high 4%, 20%, 3 days, CI 5%. study also revealed compared variability, could increase 75%, 50%, ∼10%. This work helps improve our understanding end