Comparison of two classification approaches for automatic density separation of Florida citrus

Abstract

A non-parametric classification technique was utilized to develop breakpoints for density separation of freeze-damaged citrus and compared to Gaussian distribution results. Class probability and economic loss factors were included in both models. The techniques were applied to density sorting based on optical dimensional sizing coupled with real-time weight measurements. A major change in density occurs in citrus when exposed to freezing conditions after which internal desic-cation can be correlated to a reduction in the density of the fruit. For a three-category separation, density breakpoints ranged from 0.80 to 0.90, non-parametric, and 0.80 to 0.98, Gaussian.