DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI.

Journal: BMC plant biology
Published Date: Jul 28, 2025

Abstract

OBJECTIVE: The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques.

Authors

  • Saravanan Srinivasan
    Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India.
  • Lalitha Somasundharam
    Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, 600062, India.
  • Sukumar Rajendran
    School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India.
  • Virendra Pal Singh
    School of Computer Science and Engineering, Galgotias University, Greater Noida, 203201, India.
  • Sandeep Kumar Mathivanan
    School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India.
  • Usha Moorthy
    School of Computer Engineering, Manipal Institute of Technology, Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India. m.usha@manipal.edu.

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