Fungal Disease Detection in Maize Leaves Using Haar Wavelet Features

  • Anupama S. DeshapandeEmail author
  • Shantala G. Giraddi
  • K. G. Karibasappa
  • Shrinivas D. Desai
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 106)


Agriculture is the backbone of Indian economy. Diseases in crops are causing huge loss to the economy. Only early detection can reduce these losses. Manual detection of the diseases is not feasible. Automated detection of plants diseases using image processing techniques would help farmers in earlier detection and thus prevent huge losses. Maize is an important commercial cereal crop of the world. The aim of this study is the detection of common fungal diseases, common rust, and northern leaf blight in maize leaf. The proposed system aims at early detection and further classification of diseases into common rust, northern leaf blight, multiple diseases, or healthy using first-order histogram features and Haar wavelet features based on GLCM features. Two classifiers, namely, k-NN and SVM are considered for the study. The highest accuracy of 85% is obtained with k-NN for k = 5 and accuracy obtained with SVM-based classification is 88%.


Maize leaf Disease detection First-order histogram features K-NN classifier SVM classifier Haar wavelet GLCM features 



We would like to thank University of Agricultural Sciences, Dharwad [8] for their cooperation in getting maize crop images. We would like to thank Prof. V. B. Nargund, Dept of Plant Pathology, University of Agricultural Sciences, Dharwad for providing domain knowledge and Prof. Shantala Giraddi for the encouragement and guidance.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Anupama S. Deshapande
    • 1
    Email author
  • Shantala G. Giraddi
    • 2
  • K. G. Karibasappa
    • 2
  • Shrinivas D. Desai
    • 2
  1. 1.Department of Computer Science and EngineeringB.V. Bhoomaraddi College of Engineering and TechnologyHubliIndia
  2. 2.School of Computer Science and EngineeringKLE Technological UniversityHubliIndia

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