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Model-based classification of tomato fruit development and ripening related to physiological maturity

Tijdschriftbijdrage - Tijdschriftartikel

Developing and ripening fruit are often classified according to subjective maturity classes or calendar time (e.g., days after anthesis). We propose a model-based approach that classifies tomato fruit during development and ripening according to their physiological maturity. The model uses only two non-destructive measurable parameters for classification: fruit color (expressed as hue) and mass. The model was calibrated against a dataset of tomato fruit (cv. Bonaparte) monitored in time during development and ripening. Next, the model-based classification was successfully implemented to classify individually harvested fruit at different stages of development. The model-based classification method was also verified for another cultivar ('Plaisance'). This approach allows the user to interpret other destructive physiological traits such as firmness decline or ethylene production in a more realistic time scale in accordance with the physiological maturity of the fruit. This can lead to an altered interpretation of such physiological data compared to more conventional classification methods. © 2011 Elsevier B.V.
Tijdschrift: Postharvest Biology and Technology
ISSN: 0925-5214
Volume: 67
Pagina's: 59 - 67
Jaar van publicatie:2012
BOF-keylabel:ja
IOF-keylabel:ja
BOF-publication weight:6
CSS-citation score:2
Authors from:Government, Private, Higher Education