Before revision:  Here, we present a pixel color- and coordinate-based K-Means clustering (PCC-KMC) algorithm that is capable of RGB image analysis based on color (normalized RGB values) and spatial information (column and row coordinates) of pixels for quantification of rice sheath blight (ShB) disease .
After revision:  Here, we propose the use of RGB images and image processing techniques to quantify ShB disease progression in terms of lesion height and diseased area. To be specific, we developed a pixel color- and coordinate-based K-Means clustering (PCC-KMC) algorithm that is capable of RGB image analysis based on color (normalized RGB values) and spatial information (column and row coordinates) of pixels for quantification of rice sheath blight (ShB) disease .