Md. Wahidur Rahman Texas A&M University–Kingsville
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Conference Paper 2024

Automated Grading of Bananas Using Advanced YOLO Models: A Machine Learning and Computer Vision Approach for Ripeness Classification

Md Sariful Islam, Robaaed Afred Tanik, Noor Hossain, Md Abdur Rahman Tamim, Mohammed Imran, Jubayer Ahmed Shawon, Wahidur Rahman, Samia Yasmin

2024 27th International Conference on Computer and Information Technology (ICCIT), pp. 3134–3139

Type
Conference Paper
Year
2024
Venue
2024 27th International Conference on Computer and Information Technology (ICCIT)
Pages
3134–3139
Publisher
IEEE

Overview

Conference Paper published in 2024 27th International Conference on Computer and Information Technology (ICCIT) (2024) · 8 authors

Research areas

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Abstract

Abstract is not stored locally. View the publisher record for the official abstract.

Authors

  1. Md Sariful Islam
  2. Robaaed Afred Tanik
  3. Noor Hossain
  4. Md Abdur Rahman Tamim
  5. Mohammed Imran
  6. Jubayer Ahmed Shawon
  7. Wahidur Rahman Portfolio Author
  8. Samia Yasmin

Keywords

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Citation

IEEE

M. S. Islam et al., "Automated Grading of Bananas Using Advanced YOLO Models: A Machine Learning and Computer Vision Approach for Ripeness Classification," in 2024 27th International Conference on Computer and Information Technology (ICCIT), 2024, pp. 3134–3139.

BibTeX

@inproceedings{islam2024automated,
  title={Automated Grading of Bananas Using Advanced YOLO Models: A Machine Learning and Computer Vision Approach for Ripeness Classification},
  author={Islam, Md Sariful and Tanik, Robaaed Afred and Hossain, Noor and Tamim, Md Abdur Rahman and Imran, Mohammed and Shawon, Jubayer Ahmed and Rahman, Wahidur and Yasmin, Samia},
  booktitle={2024 27th International Conference on Computer and Information Technology (ICCIT)},
  pages={3134--3139},
  year={2024},
  organization={IEEE}
}