Advances and Applications in Discrete Mathematics

The Advances and Applications in Discrete Mathematics is a prestigious peer-reviewed journal indexed in the Emerging Sources Citation Index (ESCI). It is dedicated to publishing original research articles in the field of discrete mathematics and combinatorics, including topics such as graphs, coding theory, and block design. The journal emphasizes efficient and powerful tools for real-world applications and welcomes expository articles that highlight current developments in the field.

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COMPACT CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE FOR ONION DISEASE CLASSIFICATION USING CROP IMAGES

Authors

  • Muhammad Ahmed Zaki
  • Sammer Zai
  • Usman Amjad
  • Urooba Zaki
  • Sanam Narejo

Keywords:

deep learning, convolutional neural network, classification, purple blotch, onion disease detection, data augmentation

DOI:

https://doi.org/10.17654/0974165825017

Abstract

Detecting disorders in crops at an initial phase is important for improved agricultural productivity. Different diseases like purple blotch in onions affect crop quality worldwide. Traditional approaches for identifying purple blotch require time, wide examination, and frequent farm observation. With technical improvements in recent years, agriculturalists have been able to discover optimal solutions  that have caused higher harvests. This article presents compact Convolutional Neural Network (CNN) architecture for onion disease (purple blotch) classification from crop images. This Onion Crop Disease Dataset (OCDD) contains 1000 images of healthy and infected crops. Four distinct architectures InceptionV3, Xception, EfficientNetB7, and DenseNet201 are compared. Subsequent trials for assessment are applied. DenseNet201 delivers 94.54% accuracy in comparison to other models.

Received: November 1, 2024
Revised: November 28, 2024
Accepted: January 3, 2025

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Published

2025-01-10

Issue

Vol. 42 No. 3 (2025)

Section

Articles

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Copyright (c) 2025 PUSHPA PUBLISHING HOUSE, PRAYAGRAJ, INDIA

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How to Cite

COMPACT CONVOLUTIONAL NEURAL NETWORK ARCHITECTURE FOR ONION DISEASE CLASSIFICATION USING CROP IMAGES. (2025). Advances and Applications in Discrete Mathematics, 42(3), 253-271. https://doi.org/10.17654/0974165825017

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