@article{Jaganathan_Arumugam_2014, title={Powdery Mildew Disease Identification in Karpoori Variety of Betel vine Plants Using Histogram Based Techniques}, volume={2}, url={https://journals.scholarpublishing.org/index.php/AIVP/article/view/478}, DOI={10.14738/aivp.25.478}, abstractNote={<p> The betel vine cultivation is very much affected by diseases and outcome of the farmer is big loss for betel vine cultivation. The aim of this paper is to detection of Powdery mildew disease in the betel vine plants using histogram based digital image processing techniques. The digital images of the uninfected or normal betel vine leaves and the digital images of the infected in powdery mildew diseased betel vine leaves at different stages are collected from different betel vine plants using a high resolution digital camera and collected betel vine images are stored with JPEG format. The digital image analyses of the leaves are done using the image processing toolbox in MATLAB. The RGB color betel vine images were converted into gray scale image. Histogram were plotted and stored as a database for uninfected and powdery mildew disease infected in first day to final day for all the Karpoori variety of betel vine leaves. Finally this investigation helps to recognize the powdery mildew disease can be identified before it spreads to entire crop.</p>}, number={5}, journal={European Journal of Applied Sciences}, author={Jaganathan, Vijayakumar and Arumugam, S}, year={2014}, month={Nov.}, pages={63–75} }