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A Review on Fruit Grading Systems for Quality Inspection?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 7)

Publication Date:

Authors : ; ;

Page : 615-621

Keywords : Imaging spectroscopy; Fruit grading; Fuzzy Inference system; Neural Networks;

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India produces 44.04 million tons of fruit annually. A tremendous scope thus arises for grading the fruits for quality inspection tests from dispatch from farm to the consumer. Fruits must be graded for quality aspects like size, volume and hydration contents. A number of sensors primarily based on the optical characteristics at near Infra Red levels are used along with spectroscopic methods for grading the fruits. Fruits kept in piles and stock houses need more sophisticated robotic manipulators for in-house inspection. The readings obtained from the sensors or the inline cameras are feed for image processing methods and algorithms for grading. A few to name them are classifiers like neural network and fuzzy based classifiers.This review deals with the methods and practices used for the grading of the fruits.

Last modified: 2014-07-26 18:41:11