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Impact Factor : 8.14

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Paper Title: IoT Based Fruit Grading System
Authors Name: Dheeraj Shetty , Gagana G R Nayaka , Gowthami H R , Girija R
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IJRTI_180886
Published Paper Id: IJRTI1905041
Published In: Volume 4 Issue 5, May-2019
DOI:
Abstract: Digital image processing is one of the popular computer vision techniques, which can be applied for automatic grading of fruits. Which will increase the business worth of the assembly. This paper presents an IoT-based approach for fruit grading. First, it classifies the kind of the fruit by extracting the SURF (Speeded Up strong Features), and after the classification, it detects the grade of the fruit namely- A (good), B (medium) or C (bad). For gradation we have used the color options and color space of the fruit. Minimum distance classifier is employed for the classification. The common accuracy for fruit detection and grading is achieved effectively up to 78.9%.
Keywords: computer vision, fruit grading, IoT.
Cite Article: "IoT Based Fruit Grading System", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 5, page no.173 - 176, May-2019, Available :http://www.ijrti.org/papers/IJRTI1905041.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI1905041
Registration ID:180886
Published In: Volume 4 Issue 5, May-2019
DOI (Digital Object Identifier):
Page No: 173 - 176
Country: Moodbidri, D.K, Karnataka, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1905041
Published Paper PDF: https://www.ijrti.org/papers/IJRTI1905041
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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