Fruit Quality Management System using Image Processing |
Author(s): |
| Mansi Bhagwan Landge , Zeal College of Engineering and Research, Pune; Ashwathy Paniker, Zeal College of Engineering and Research, Pune; Vaishnavi Ubhe, Zeal College of Engineering and Research, Pune; Bhagyashree Rokade, Zeal College of Engineering and Research, Pune; Prof. Rahul Bhole, Zeal college of engineering and research |
Keywords: |
| Fruit Quality, CNN Architecture, Computer Vision, Python. Classification |
Abstract |
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An automatic fruit quality inspection system for sorting and grading of fruits is proposed. The quality of fruit is an essential factor for the customer, and so it is essential for marketing a uniformly high-quality fruit. The manual inspection system for sorting is replaced in this system. The system is purely software based. The system performance mainly depends on thresholds used for size and color. Though the value of size and color will vary with a different image but the developed system did not require adjustment in threshold value for grading of fruits. This system helps in speed up process, improve accuracy and efficiency. The system accuracy is about 93%. The image processing is carried out, and features such as color, size, and glare are extracted and processed for quality of fruits. |
Other Details |
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Paper ID: IJSRDV8I120084 Published in: Volume : 8, Issue : 12 Publication Date: 01/03/2021 Page(s): 144-145 |
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