Development of an Efficient Image Processing Technique for Wheat Disease Detection
DOI:
https://doi.org/10.26438/ijcse/v6i9.760764Keywords:
GLCM, KNN, K-means, Plant Disease DetectionAbstract
The image processing is the technique which can propose the information stored in the form of pixels. The plant disease detection is the technique which can detect the disease from the leaf. The plant disease detection algorithms has various steps like pre-processing, feature extraction, segmentation and classification. The KNN classifier technique is applied which can classify input data into certain classes. The performance of KNN classifier is compared with the existing techniques and it is analyzed that KNN classifier has high accuracy, less fault detection as compared to other techniques
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