Leaf Disease Classification Using Artificial Neural Networks and Decision Tree Classifier

Authors

  • sivakami sundari

DOI:

https://doi.org/10.37591/joipprp.v5i1.1343

Abstract

Most of the population in India depends on agriculture production. Diseases on plant cause a significant loss of nation’s economy. The Loss can be reduced by identifying the disease at the earlier stage. Leaves are the main indicator of diseases in a plant. Hence efficient automatic leaf disease identification system is the need for the current scenario. As it detects the diseases on leaf immediately after they appear, it prevents the heavy loss due to quality and quantity reduction of the crops. The proposed method consists of color transformation, masking of green pixels using thresholding, segmentation, texture feature extraction using gray level    co-occurrence matrix GLCM and classification. For classification, artificial neural network and decision tree as classifiers.

Author Biography

  • sivakami sundari
    Assistant Professor, Computer Science and Engineering Department

References

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Published

2018-04-18

Issue

Vol. 5 No. 1 (2018)

Section

Research Articles

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