A Review and Impact of Data Mining and Image Processing Techniques for Aerial Plant Pathology

  • S. PudumalarEmail author
  • S. Muthuramalingam
  • R. Shanmugapriyan
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)


Indian economy highly relies on agriculture sector. Many Indian farmers are unable to do farming profitably due the lack of awareness in incorporating the modern agricultural practices over traditional method. Making Right Decision at right point of time adds value in agriculture sector. Application of data mining techniques on historical agricultural data such as crop yield record, temperature, rainfall, pest attack etc., provides support to the farmers to reduce risk. Major loss is caused by pest attack at various stages of the plant growth. Pest infects all aerial parts of plant (Leaf, neck and node) and in all growth stages. Ease damage to plants can greatly reduce yield and quality of production. This paper focuses on review of Symptom-wise recognition of major plant diseases using Data mining and image processing techniques. The paper aims at identifying the future scope of solving the real world –disease detection problem.


Data mining Image processing Plant diseases Agriculture 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • S. Pudumalar
    • 1
    Email author
  • S. Muthuramalingam
    • 1
  • R. Shanmugapriyan
    • 1
  1. 1.Department of Information TechnologyThiagarajar College of EngineeringMaduraiIndia

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