Developing of biophysical food for monitoring postharvest supply chains for avocado and potato and deploying of biophysical apple

Horticultural products are prone to high postharvest losses due their perishability and susceptibility drivers for food decay, including temperature. A narrow temperature window must typically be maintained prevent accelerated decay and, at the same time, thermal damage, such as chilling injury. Food simulators or so-called biophysical help monitor anomalies in cold chain, optimize refrigerated transport storage. This fruit vegetables needs tailored each commodity cultivar consider different physical properties influencing response. We developed new two sizes of both avocado (cv. ‘Hass') potato ‘Kufir Jyoti’ ‘Agria’). The shell design filling were adapted mimic specific characteristics real products. Integrated sensors logged core surface Furthermore, we optimized production steps our existing prototype apples ‘Braeburn’) deployed them a storage facility India. Thereby apple was used map distribution inside cooling unit. By mimicking commodities' response via food, gain complementary insights compared only monitoring air Our plug-and-play can stored with particularly sense conditions hard-to-reach locations. These data will improve chain operations achieve optimal homogenous decrease losses. • current manufacturing protocol, scalability extend its end-life. New foods species-specific designs (i.e., size, density, properties) during processes. validation these revealed clear gradient between cooling, whereas added value identified higher large deployment unit Himachal Pradesh, India, that heterogeneities mostly present harvesting early phases. easy-to-use enable realistic supply chains by non-destructive product sensing.