Onion Classification using Color and Convolutional Neural Network

Authors

  • Surendra Waghmare Assistant Professor, Dept. of Electronics and Telecommunication Engineering G H Raisoni College of Engineering and Management Wagholi, Pune, India
  • Sanjay Sanamdikar Assistant Professor, Dept. of Instrumentation Engineering PDEAs College of Engineering Manjari Pune, Maharashtra, India
  • Deepali S. Hirolikar Assistant Professor, Information Technology Department PDEAs College of Engineering Manjari Pune, Maharashtra, India
  • Madhav Vaidya Assistant Professor, Information Technology Department SGGS Institute of Engineering and Technology, Nanded
  • Ganesh Pakle Assistant Professor, Information Technology Department SGGS Institute of Engineering and Technology, Nanded
  • Priya Waghmare (Ujawe) Assistant Professor, Information Technology Department G H Raisoni College of Engineering and Management Wagholi, Pune, India
  • Dipali Choudhari PG scholar, M.Tech (VLSI and Embedded Systems) Dept. of Electronics and Telecommunication Engineering G H Raisoni College of Engineering and Management Wagholi, Pune, India

Keywords:

CNN, Color, deep learning, HSV, Onion sorting

Abstract

One of the most critical processes in producing fruits and vegetables is sorting, which is typically done manually in most countries. Onion production is large-scale in India, mainly in Maharashtra's West Region. As a result, it would be more useful in the industry for sorting and grading onions. Food quality detection and grading have benefited from the machine learning application then computer vision techniques. The task of distinguishing infected/uninfected onions from images of their exterior surface is investigated using various methods. One of the supreme important economic sectors in our nation is agriculture and it shows a critical part in our country's economic growth. Agriculture fruits are processed by cutting them from their natural forms, washing, sorting, grading, packaging, and shipping. Grading of onion is a significant step for protecting the quality of fresh-market items. The exterior appearance of the fruits is used to sort agricultural goods. Shape, size, and color are used to grade the items. In this study, HSV ranges are used to categorize onions into red and white colors. A convolutional neural network is also used to categorize the onion pictures into good and damaged quality.

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Published

24.11.2023

How to Cite

Waghmare, S. ., Sanamdikar, S. ., Hirolikar, D. S. ., Vaidya, M. ., Pakle, G. ., Waghmare (Ujawe), P. ., & Choudhari, D. . (2023). Onion Classification using Color and Convolutional Neural Network. International Journal of Intelligent Systems and Applications in Engineering, 12(5s), 174–180. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/3876

Issue

Vol. 12 No. 5s (2024)

Section

Research Article

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