@article{MAKHILLIJSC20149421205,
    title = {<I>Odium piperis</I> Fungus Identification for Piper Betel Plants Using Digital Image Processing},
    journal = {International Journal of Soft Computing},
    volume = {9},
    number = {4},
    pages = {207-212},
    year = {2014},
    issn = {1816-9503},
    doi = {ijscomp.2014.207.212},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2014.207.212},
    author = {J. and},
    keywords = {Piperaceae,piper betel,Powdery mildew disease,oidium piperis,digital image},
    abstract = {The betelvine cultivation is very much affected by diseases 
  and outcome of the farmer is big loss for betelvine cultivation. The aim of 
  this study is to detection of Powdery mildew disease in the betelvine plants 
  using digital image processing techniques. The digital images of the uninfected 
  or normal betelvine leaves and the digital images of the infected in Powdery 
  mildew diseased betelvine leaves at different stages are collected from different 
  betelvine plants using a high resolution digital camera and collected betelvine 
  images are stored with JPEG format. The digital image analyses of the leaves 
  are done using the image processing toolbox in MATLAB. The mean values for all 
  sample leaves are computed and calculated mean values are stored in the system. 
  The mean values of test leaves are computed and compared with the stored values. 
  As the result of this comparison, it is identified whether test leaves are affected 
  by Powdery mildew disease or not. Finally, this analysis helps to recognize 
  the Powdery mildew disease can be identified before it spreads to entire crop.}
    }