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Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
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A comprehensive Malabar Spinach dataset for diseases classification.

Mushfiqur Rahman1, Md Al Mamun1

  • 1Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.

Data in Brief
|April 25, 2025
PubMed
Summary

This study developed machine vision algorithms to detect diseases in Malabar spinach, achieving 94% accuracy. This enhances crop management and food security for this vital vegetable.

Keywords:
AgricultureAutomatic detection systemComputer visionMachine visionMalabar Spinach

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Area of Science:

  • Agricultural Science
  • Computer Vision
  • Plant Pathology

Background:

  • Malabar spinach is a valuable crop facing disease threats like anthracnose and mite infestations.
  • Limited research exists on automated disease detection for Malabar spinach.
  • Machine vision advancements offer potential for early disease identification in crops.

Purpose of the Study:

  • To develop and evaluate machine vision algorithms for accurate disease detection in Malabar spinach.
  • To address the research gap in automated disease identification for this specific crop.
  • To provide tools for precision farming and effective crop management.

Main Methods:

  • Utilized a comprehensive dataset of healthy and diseased Malabar spinach images.
  • Trained and validated deep learning models, including ResNet50.
  • Employed various image processing techniques and standardized evaluation metrics.

Main Results:

  • Developed reliable disease detection models for Malabar spinach.
  • Achieved an overall test accuracy of 94% for disease identification.
  • Demonstrated the efficacy of machine vision in detecting specific diseases.

Conclusions:

  • The developed models offer efficient tools for farmers and experts to detect Malabar spinach diseases.
  • This research contributes to agricultural sustainability and food security by reducing yield losses.
  • Enhanced disease detection supports precision agriculture and strengthens farming communities.