Zulkifli Husin
Thumbnail Image
Preferred name
Zulkifli Husin
Official Name
Zulkifli, Husin
Alternative Name
Husin, Zulkifli
Husin, Z.
Husin, Zulkifli Bin
Main Affiliation
Scopus Author ID
57201059019
Researcher ID
EXV-4088-2022

Research Output

Filters

1
1
1
1
Reset filters

Settings
Now showing 1 - 1 of 1
  • Publication
    Automated tomato grading system using Computer Vision (CV) and Deep Neural Network (DNN) Algorithm
    ( 2022-01-01)
    Tan Wei Keong
    ;
    Muhammad Amir Hakim Ismail
    ;
    Zulkifli Husin
    ;
    Muhammad Luqman Yasruddin
    The tomato grading is based on the skin colour at the grading stage. The evaluation of the colour used to classify tomatoes is very important, and the current methods of identifying and determining tomato varieties are still manual and prone to human error. The ability to automate tomato grading helps the food industry determine colour grades during the evaluation phase. Therefore, Computer Vision (CV) and Deep Neural Network (DNN) are utilised to grade tomatoes by determining their maturity colour. Three hundred tomatoes were selected and its maturity level are assigned by expertise. The tomato images are captured, processed and passed to the DNN classifier to determine the tomato grade. The proposed DNN classifier achieved the mAP percentage of 95.52%. This shows that the computer vision built into the DNN algorithm can provide an efficient implementation for predicting tomato grade.