@Article{, title={Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases}, author={Mohammed Shakir Mahmood and Amel H. Abbas and Basim K. M. A. Al-Windi}, journal={Al-Mustansiriyah Journal of Science مجلة علوم المستنصرية}, volume={32}, number={5 Special Issue: Mustansiryah International Conference on Applied Physics (MICAP 2021)}, pages={1-4}, year={2021}, abstract={Received 05/07/2021 The proposed method is based on classifying 15 types of plant leaf disease. Hue saturation value was used to delete the background and the healthy areas to show only the affected area in the image. Texture analyses adopted in image features extractions from the R component &G component &B component and creating 3 components which are RG and RB and GB color of the RGB color space images of diseased leaves. Building image classifier using statistical method for classification

} }