Fruit Analysis Essay

Development & Analysis of Food Processing Industry

Summary

Fruit are major food products and key ingredients in many processed foods. They are a rich source of vital nutrients and constitute an important factor of human nutrition. Consumers present are more aware of the grandness of healthy foods and require food products with high nutritional value along with high standards of sensory characteristics. Thus, the processing has to preserve the nutritional value of the fruit, while also preserving its natural color and flavor.

Fruits are highly perishable, and about 20%–40% of the fruit produced are wasted from the time of harvest till they reach the consumers. To reduce fruit loss and improve final exam sensory characteristics of processed

These parameters can be used to determine their quality and classify them. Color is an important property that indicates ripeness, defects, etc. Currently, sizes and color of many food products are inspected by human vision. However, the adaptation of the human eye to slight changes in color and the effect of the background on the perceived color and color intensity are the major drawbacks of visual inspection. To make decisions consistent, machine vision technology based on image analysis using color has proved to be the best technique to determine quality of fruits. (Sudhakara Rao, P.; Gopal, A.; Revathy, R.; Meenakshi, K. Colour Analysis of Fruits Using Machine Vision System gor Automatic Sorting snd Grading. Journal of Instrument Society of India 2004, 34(4),

Quality Inspection and Grading of Agricultural and Food Products by Computer Vision. International Journal of Computer Applications (0975–8887) 2010, 2(1), 43–65.)

(Pla, F.; Sanchiz, J.M.; Sanchez, J.S.; Ugolini, N.; Diaz, M. A Machine Vision System for On-Line Fruit Colour Classification. Proceedings of the IX Spanish Symposium on Pattern Recognition and Image Analysis, Benicasim (Castellon), Spain, 2001, 323–330 pp)

Filiberto Pla et al. have developed an embedded system, based on personal computer (PC) architecture without user interface which does size and color sorting of fruits based on values of

Red–green–blue (RGB) and infrared (IR) using a machine vision unit as part of a distributed control system in which several machine vision modules are integrated with a central control unit and a user interface module. They used commercial progressive scan color and IR cameras which provided non-interlaced video output and asynchronous reset facility. They have computed the size parameters for fruits in terms of their maximum, minimum, or average diameters and color classification using classification rules provided by a binary decision tree. Processing concepts

The following task describes the steps needed in the manufacturing of orange juice