Authors :
Rachana M Shet; Priyadarshini V; HOD harshavardhan Tiwari; Dr. Harshavardhan Tiwari
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3NXH011
DOI :
https://doi.org/10.5281/zenodo.6816677
Abstract :
This project introduces fruit quality
identification system. The system design considers certain
features including the color and shape of the fruit, which
increases the accuracy for pixel detection of the fruit,
using a color classification support vector machine
(SVM). Image processing provides solutions for
automated fruit size grading to provide accurate, reliable,
consistent and quantitative information in addition to
handling large quantities.
Computer vision is a consistent and advanced
technology for image processing with favorable results
and immense potential. A computer vision has been
strongly adopted in the heterogeneous sector including
agriculture. Fruit grading is a very important function as
it gives higher value to the grower and improves
packaging, management and overdevelopment in the
marketing system.
Keywords :
GPU P100, GEFORCE10, Tensor flow, MATPLOT LIB, keras
This project introduces fruit quality
identification system. The system design considers certain
features including the color and shape of the fruit, which
increases the accuracy for pixel detection of the fruit,
using a color classification support vector machine
(SVM). Image processing provides solutions for
automated fruit size grading to provide accurate, reliable,
consistent and quantitative information in addition to
handling large quantities.
Computer vision is a consistent and advanced
technology for image processing with favorable results
and immense potential. A computer vision has been
strongly adopted in the heterogeneous sector including
agriculture. Fruit grading is a very important function as
it gives higher value to the grower and improves
packaging, management and overdevelopment in the
marketing system.
Keywords :
GPU P100, GEFORCE10, Tensor flow, MATPLOT LIB, keras
