ArticleFoods (Basel, Switzerland)2022
Smartphone-Based Image Analysis for Rapid Evaluation of Kiwifruit Quality during Cold Storage.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Early harvesting is undesirable in kiwifruit production: Insights from metabolomics and physiological evidence.Food chemistry: X · 2025Article
- Predicting the quality attributes related to geographical growing regions in red-fleshed kiwifruit by data fusion of electronic nose and computer vision systems.BMC plant biology · 2024Article
- Emerging Postharvest Technologies to Enhance the Shelf-Life of Fruit and Vegetables: An Overview.Foods (Basel, Switzerland) · 2022Review
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Authors and funding
9 authors.
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Abstract
As a vitamin C-rich fruit, choosing the eating time for kiwifruit with the best quality during the shelf period is still a problem for consumers. This paper mainly focuses on the correlation between cold storage time, quality indexes, volatile flavor compounds of postharvest kiwifruit and RGB value readouts from photos taken by mobile phone. Results indicated that the R to B ratio values (Central R/B) and B to G ratio values (Central B/G) of the central site of kiwifruit were strongly associated with storage time and all quality indicators. The central R/B was negatively correlated with titratable acidity, vitamin C and 2,6-Nonadienal contents and firmness and positively correlated with storage time, weight loss, soluble solids content, total soluble sugars, total plate counts and 1,3-Cyclooctadiene. We provide a novel and smart strategy to predict the shelf life and quality parameters of kiwifruit by capturing and calculating RGB values using a smartphone.
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Registered trials
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