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 FCM. (a) Input image of bacterial leaf blight. (b) Noised image. (c) After noise removal. (d) Colour-based using FCM. (e) Segmented greyscale image.</div>

Journal of Food Quality

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Figure 14

Figure 14: Instinctive Recognition of Pathogens in Rice Using Reformed Fractional Differential Segmentation and Innovative Fuzzy Logic-Based Probabilistic Neural Network 

Figure 14 | Instinctive Recognition of Pathogens in Rice Using Reformed Fractional Differential Segmentation and Innovative Fuzzy Logic-Based Probabilistic Neural Network 