Fuzzy logic approach in assigning grades from multiple quality parameters: A case study with dates
Authors: Manickavasagan, A., A. Arunagiri, A. Shameer, G. Thomas
Description: In food industries, quality assessment and monitoring are becoming extremely important due to the increasing demand for customer preference and safety. There are many quality parameters, measured by analytical or non-destructive computer vision (CV) techniques during food processing to assign the grade. In this study, fuzzy logic approach was used to assign grades to date fruits from three quality parameters obtained using CV methods (surface crack (using RGB images), hardness (using monochrome images) and insect infestation (using x-ray images). For each quality attribute, three top most contributing features were used to develop the fuzzy logic system. The developed model was validated with real data, and the classification accuracy was 80%. This approach has great potential to assign single grade from multiple quality parameters objectively.
Keywords: fuzzy logic, dates, surface crack, hardness, infestation
Technical field: Information Systems Engineering
Conference name: CSBE/SCGAB 2015 Annual Conference, Edmonton, AB, 5-8 July 2015.
Session name: Poster
Citation: Manickavasagan, A., A. Arunagiri, A. Shameer, G. Thomas. 2015. Fuzzy logic approach in assigning grades from multiple quality parameters: A case study with dates. CSBE/SCGAB 2015 Annual Conference, Edmonton, AB, 5-8 July 2015.
Publisher: Canadian Society for Bioengineering
Language 1: en
Rights: Canadian Society for Bioengineering