Crop Disease Detection in Image Processing Using MATLAB
DOI:
https://doi.org/10.61841/xjfcc475Keywords:
MATLAb, Image acquisition, Image Pre-processing, Image Segmentation,, Feature extraction.Abstract
The Crop disease detection system is to be observe the disease of the affected leaf of the crop using image processing, K-mean clustering is used to divide an image into the respective clusters and to extract a leaf’s colour and texture characteristics, following the pre-processing phase, which aims to remove image noises and poor resolution. Eventually, the parameters were fed into MATLAB to carry out the final classification.
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