A Proposed Method for Fruit Grading from Fruit Images using SVM

Authors

  • Priyanka Banerjee Department of Computer Science,The Bhawanipur Education Society College, Kolkata, West Bengal, India
  • Souvik Sur Department of Computer Science, University of Calcutta, India
  • Kashi Nath Dey Department of Computer Science, University of Calcutta, India
  • Samir Kumar Bandyopadhyay Department of Computer Science,The Bhawanipur Education Society College, Kolkata, West Bengal, India

DOI:

https://doi.org/10.26438/ijcse/v8i3.8388

Keywords:

Fruit grading, Fruit images, SVM, Classification and Machine Learning Approach

Abstract

Agriculture is the largest economic sector and it plays a major role in economic development of India. The manual classification and grading techniques of fruits are distinguished between different types of fruits. Many new technologies are developed by researchers but enhance method is still needed. This paper presents a method for fruit grading from fruit images using image processing and machine learning techniques.

References

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Published

2020-03-30
CITATION
DOI: 10.26438/ijcse/v8i3.8388
Published: 2020-03-30

How to Cite

[1]
P. Banerjee, S. Sur, K. N. Dey, and S. K. Bandyopadhyay, “A Proposed Method for Fruit Grading from Fruit Images using SVM”, Int. J. Comp. Sci. Eng., vol. 8, no. 3, pp. 83–88, Mar. 2020.

Issue

Vol. 8 No. 3 (2020): IJCSE March Edition

Section

Research Article

License

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