• Corpus ID: 212493523

Identification And Classification Of Plant Leaf Diseases Using Neural Networks

  title={Identification And Classification Of Plant Leaf Diseases Using Neural Networks},
  author={V. L. Krishnan and G Balaji},
Plants are really important for the planet and for all living organisms. Plants maintain the atmosphere. Plant disease, an impairment of the normal state of a plant that interrupts or modifies its vital functions. All species of plants, wild and cultivated alike, are subject to disease. These diseases occur primarily on leaves, but some may also occur on stems and fruits. Leaf diseases are the most common diseases of most plants. Plant pathology is the scientific study of diseases in plants… 



Detection and Classification of Disease Affected Region of Plant Leaves using Image Processing Technique

In this research work, plant leaf diseases are detected and classified using the image processing techniques and the fundamental steps of image processing and leaf disease detection and final optimization are used in this work.

SVM classifier based grape leaf disease detection

This paper is intended to aid in the detection and classification leaf diseases of grape using SVM classification technique and can successfully detect and classify the examined disease with accuracy of 88.89%.

Plant Leaf Disease Detection and Classification Using Image Processing Techniques

This paper is providing software solution to automatically detect and classify plant leaf diseases, using image processing techniques to classify diseases & quickly diagnosis can be carried out as per disease.

Image Processing System for Plant Disease Identification by Using FCM-Clustering Technique

Our paper focuses on providing information about plant diseases and prevention methods. Plants have become an important source of energy, and are a fundamental piece of the puzzle to solve the


Farmers experience great difficulties in changing from one disease control policy to another. Relying on pure naked-eye observation to detect and classify diseases can be expensive. Various plant

Groundnut leaf disease detection and classification by using back probagation algorithm

  • M. RamakrishnanA. Nisha
  • Computer Science
    2015 International Conference on Communications and Signal Processing (ICCSP)
  • 2015
The upgraded processing pattern comprises of four leading steps and uses back propagation algorithm detection of leaf disease, which is one of the type of disease in early stage of ground nut leaf.

SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique

The study has presented a reduced feature set based approach for recognition and classification of images of plant diseases and reveals that SVM classifier is more suitable for identification and classification for plant diseases affecting agriculture/horticulture crops.