PADDY DISEASE DETECTION USING IMAGE PROCESSING AND MACHINE LEARNING ALGORITHM

PADDY DISEASE DETECTION USING IMAGE PROCESSING AND MACHINE LEARNING ALGORITHM

J.RESHMAN MASUTHA ¹                                           Dr .A.SHAIK ABDUL  KHADIR,M.Sc.,M.Phil,Ph.D² 

Research Scholar,                                               Head & Associate Professor Of Computer Science,

Khadir Mohideen College,                                  Khadir Mohideen College,

Adirampattinam.                                                 Adirampattinam.

ABSTRACT

Paddy  is  a  monocotyledonous  angiosperm  and  it  belongs  to  Oryza.  It contains more than 20 species, yet just two species are    alluded    to    as    development. In  this  proposed  work  different  data  set  is  considered  with  kNN    classifier,    in    this    experimentation,    the    features    extracted  from  red  component  is  used  for  training  and  the  features  extracted  from  green  component  is  consider  for  testing  which  has  given  a  success  rate  of  87%.In agricultural field recognition of healthy or diseased plant was the major constrain.  Because an expert has to visit agricultural field repeatedly, it may take more time to analyse, and it may be burden to the farmer. The Proposed   system we analyze the paddy disease .

Keyword: Paddy Disease, KNN Clasifier, Feature Extraction.