Detection and Classification of Leaf Diseases using K-means-based Segmentation and Neural-networks-based Classification

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Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features (2013, methodology): “Features are extracted from wavelet decomposition and finally classified by Euclidean distance method (Siddiqil et.al, 2009) Al-Bashish et al. (2011) developed a fast and accurate method in which the leaf diseases are detected and classified using k-means based segmentation and neural networks…”
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems (2019, background): “…2017) or for segmenting the diseased/defected regions on plants /fruits from healthy areas (Leemans and Destain, 2004; Unay and Gosselin, 2006; Al Bashish et al., 2011; Dubey and Jalal, 2014; Hu et al., 2014; Pujari et al., 2013; Deshpande et al., 2014; Kruse et al., 2014; Pham and Lee, 2015)…”