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Vol. 5  No. 5 (2019) · Articles

Fruit Quality Management and Sorting using Image Processing

Siddhart Dope
B.E Student, Dept. of Electronics Engineering, All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune SPPU , India , IN

Shubham Vanmane
B.E Student, Dept. of Electronics Engineering, All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune SPPU , India , IN

Chaitanya Bhosale
B.E Student, Dept. of Electronics Engineering, All India Shri Shivaji Memorial Society’s Institute of Information Technology, Pune SPPU , India , IN

📅 Published: May 2019

Keywords: RGB (Red Green Blue ), MATLAB, Image Processing , ANN(Artificial Neural Network)

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Abstract

Fruit quality Management and Sorting proposed a way to differentiate the quality product and the bad or damaged fruit using a advanced system that is image processing in this the image processing is the basic blog to differentiate the objects .The old existing system have the disadvantages of low efficiency , low speed of grading , high cost and complexity. The implementation of this proposed system, it will able to sort and grade fruits based on their color, size and shape.

How to Cite

Siddhart Dope, Shubham Vanmane, Chaitanya Bhosale, “Fruit Quality Management and Sorting using Image Processing,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 5, no. 5, pp. 1027-1030, May 2019.

References

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