Instinctive Recognition of Pathogens in Rice Using Reformed Fractional Differential Segmentation and Innovative Fuzzy Logic-Based Probabilistic Neural Network

<div>Region of interest separated from segmentation using <i>K</i>-means segmentation. (a) Input image of rice blast. (b) Size adjustment of the input image. (c) Removing the noised image. (d) Diseased part segmented using <i>K</i>-means segmentation.</div>

Journal of Food Quality

fig13

Figure 13

Figure 13: Instinctive Recognition of Pathogens in Rice Using Reformed Fractional Differential Segmentation and Innovative Fuzzy Logic-Based Probabilistic Neural Network 

Figure 13 | Instinctive Recognition of Pathogens in Rice Using Reformed Fractional Differential Segmentation and Innovative Fuzzy Logic-Based Probabilistic Neural Network 