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

摘要: Abstract 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 during development their physiological maturity. The model uses only two non-destructive measurable parameters for classification: color (expressed as hue) mass. was calibrated against dataset of (cv. Bonaparte) monitored in ripening. Next, the classification successfully implemented classify individually harvested at different stages development. method also verified another cultivar (‘Plaisance’). This allows user interpret other destructive traits such firmness decline ethylene production more realistic scale accordance with fruit. can lead an altered interpretation data compared conventional methods.