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This work proposes a non-destructive image processing approach for fruit size and maturity assessment. Colour features are extracted using RGB, HSV, and HCL models. Results show colour alone is insufficient, highlighting the need for advanced techniques. This project proposes an Image Processing-Based Automated Fruit Classification System that analyses fruit images to determine their size and maturity level. The system captures fruit images using a digital camera and processes them using image processing algorithms in a software environment such as MATLAB.
Keywords:
MATLAB,RGB,IMAGE PROCESSINg,MATURITY,
Cite Article:
"“Automated Fruit Quality Evaluation Using Image Processing Techniques” ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b614-b617, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605169.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