Transfer Learning and Explainable Artificial Intelligence Enhance the Classification of Date Fruit Varieties

Nazar Zaki, Harsh Singh, Anusuya Krishnan, Aisha Alnaqbi, Shamma Alneyadi, Sara Alnaqbi, Sarah Alhindaassi, Muneeba Alam, Afaf Kamal Eldin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study proposes a novel approach for the classification of date fruits using image processing, convolutional neural networks (CNN), and explainable artificial intelligence (AI). A unique, manually curated dataset was assembled for this research, including a diverse range of date fruit types. Rigorous image pre-processing techniques, including grayscale conversion, normalization, augmentation, and resizing, were applied to prepare the dataset for effective model training. Various renowned transfer learning models-VGG16, VGG19, MobileNetV2, EfficientNetV2L, and ResNet50-were evaluated for their performance on this dataset, and assessed based on accuracy, precision, recall, and F1-score. The ResNet50 model demonstrated superior results with an accuracy of 94%. Importantly, the study incorporated Gradient-weighted Class Activation Mapping (Grad-CAM), an explainable AI technique, providing a visually interpretable rationale for the model's decisions by highlighting significant image regions contributing to classification. To the best of our knowledge, this implementation of Grad-CAM to address this research challenge is pioneering, offering significant insights for future research in agricultural produce classification.

Original languageEnglish
Title of host publication2023 15th International Conference on Innovations in Information Technology, IIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages222-227
Number of pages6
ISBN (Electronic)9798350382396
DOIs
Publication statusPublished - 2023
Event15th International Conference on Innovations in Information Technology, IIT 2023 - Al Ain, United Arab Emirates
Duration: Nov 14 2023Nov 15 2023

Publication series

Name2023 15th International Conference on Innovations in Information Technology, IIT 2023

Conference

Conference15th International Conference on Innovations in Information Technology, IIT 2023
Country/TerritoryUnited Arab Emirates
CityAl Ain
Period11/14/2311/15/23

Keywords

  • Classification
  • Convolutional Neural Networks (CNN)
  • Date fruit
  • Grad-CAM
  • ResNet50
  • explainable AI
  • transfer learning models

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems

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