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e theapplication of nondestructive techniques to sorting and quality/maturity selection pro-cesses. Sound waves can detect rmness or textural properties of individual fruit or vegeta-bles. Fluorescence properties of individual fruits and vegetables change during maturation, ripening, and senescence (Song et al., , and machine vision systems may allow de- nition of size and shape parameters (Abbott et al., . Magnetic resonance imaging(MRI) has been demonstrated to detect internal quality defects, insect infestation of single fruit, and compositional differences between fruit structures (Clark et al., , particu- larly with respect to oil bearing components and pits. The detection and quantitation ofsugar and hence soluble solids by MRI are possible but presently difcult. As these tech- niques and others (Abbott et al., move from research and development to practical reality, they will create revolution in the way fruit and vegetables are graded, sorted, and packed. REFERENCES Abbott, . ., . Lu, . . Upchurch, and . . Stroshine. 1. Technologies for nondestructive quality evaluation of fruits and vegetables. Hortic. Rev. 2:1. Barbosa-Canovas, . ., . . Kokini, . Ma, and . Ibarz. 1. The rheology of semiliquid foods. Adv. Food Nutr. Res. 3:1. Bourne, . . 1. Food Texture and Viscosity: Concept and Measurement. Academic Press, New York and London. pp. 1, 1. Bourne, . . 1. Texture evaluation of horticultural crops. HortScience 1:5. Brookeld, ., . Murphy, . Harker, and . MacRae. 1. Starch degradation and starch pattern indices: Interpretation and relationship to maturity. Postharvest Biol. Technol. 1:2. Canada Agricultural Products Act. Fresh Fruit and Vegetable Regulations. October 1.Clark, . ., . . Hockings, . . Joyce, and . . Mazucco. 1. Application of magnetic resonance imaging to pre- and post-harvest studies of fruits and vegetables. Postharvest Biol. Technol. 1:1. Clydesdale, . . 1. Color measurement. In Food Analysis Principles and Techniques. Vol. 1. Physical