"How sweet are your strawberries?": Predicting sugariness using non-destructive and affordable hardware.

ABSTRACT: Global soft fruit supply chains rely on trustworthy descriptions of product quality. However, crucial criteria such as sweetness and firmness cannot be accurately established without destroying the fruit. Since traditional alternatives are subjective assessments by human experts, it is desirable to obtain quality estimations in a consistent and non-destructive manner. The majority of research on fruit quality measurements analyzed fruits in the lab with uniform data collection. However, it is laborious and expensive to scale up to the level of the whole yield. The "harvest-first, analysis-second" method also comes too late to decide to adjust harvesting schedules. In this research, we validated our hypothesis of using in-field data acquirable via commodity hardware to obtain accepta

SUBMITTER: Wen J 

PROVIDER: S-EPMC10075323 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature