EEGR 415 Java Programming Application

The ACME Fruit Company is in need of an automated system for detecting harvested fruit that is too ripe
and may rot during shipping. After some analysis, two processes have proven to contribute the detection
of over ripe fruit. The first (Process 1) is a chemical analysis of the gas produced by the fruit while
processing. The second (Process 2) is a histogram and hue analysis of the color of the fruit. Given training
and test data from these two processes, develop a Perceptron algorithm to classify the features of a given
fruit as “good” or “too ripe”.



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