An overview of non-destructive technologies for postharvest quality assessment in horticultural crops Artificial intelligence and machine vision are increasingly popular within food supply chains for automated decision making in quality grading and disease identification.

#OpenAccess - An overview of non-destructive technologies for #postharvest quality assessment in horticultural #crops.
To read this #review article in JHSB 100:5, visit: doi.org/10.1080/1462...

#Spectroscopy #Vibrometry #Imaging #Food #CropQuality #AI

Apples packed together

#OpenAccess - An overview of non-destructive technologies for #postharvest quality assessment in horticultural #crops.
To read this new #review article in JHSB, visit: doi.org/10.1080/1462...

#Spectroscopy #Vibrometry #Imaging #Food #CropQuality #AI

Pollinator, pollen, and cultivar identity drive crop quality Animal pollination enhances a third of global food production, yet the roles of pollinator, pollen, and cultivar identity in shaping crop quality, such as nutritional, sensory, and marketing value, are underexplored. Crop quality often depends on pollinator movement patterns, which vary with cultivar selection and spatial arrangement, pollen donor identity, and landscape context. Transfer of the right pollen between cultivars may fail, as pollen is often not transported far, even by highly dispersive pollinators, reducing cross-pollination and crop quality. Both pollinator identity and complementary spatiotemporal activity of diverse pollinators can shape crop quality. Here, we argue that promoting crop quality needs better understanding of species-specific pollinator behaviour and cultivar distribution patterns, rather than only focusing on enhancing pollinator densities.

Pollinator identity matters 🐝! Crop quality depends on who carries the pollen, its genotype, and cultivar layout. Smart landscapes can boost quality and yield 🌾🌼. #Pollination #CropQuality #SustainableFarming www.cell.com/trends/plant...