Plant Leaf Disease Detection using Data Mining

Authors

  • Manthan Mirgal Research Scholar

Keywords:

K-mean, SVM, image recognition, KNN

Abstract

Often farming can create great losses due to spread of disease in the
crops yield. Many times farmer is unaware of the disease growing in
the crops. This research aims on detecting diseases by scanning leaf of
the crops and classifying diseases, that crop may have by identifying
the patterns by Data mining techniques like K-mean, SVM, image
recognition and KNN. These techniques can surely help grow economy
of agriculture in some or other way.

Author Biography

Manthan Mirgal, Research Scholar

MCA, Thakur Institute of Management Studies, Career Development & Research (TIMSCDR), Mumbai, India

References

Vijai Singh “Detection of plant disease using image

segmentation and soft computing techniques 4(1).

Subhadra k, Kavitha N. Plant leaf disease detection

using data mining-A survey 5(1).

https://towardsdatascience.com/k-meansclustering-algorithm-applications-evaluationmethods-and- drawbacks-aa03e644b48a

https://towardsdatascience.com/understandingneural-networks-19020b758230

https://towardsdatascience.com/support-vectormachine-introduction-to-machine-learningalgorithms-934a444fca47

http://www.research.ibm.com/haifa/dept/imt/

ist_dm. shtml

Published

2020-05-30

Issue

Vol. 3 No. 1 (2020): Journal Advanced Research in Cloud Computing,Virtualization and Web Applications

Section

Articles