Detection of unhealthy region of plant leaves and classification of plant leaf diseases using texture features

By S. Arivazhagan, R. Shebiah, S. Ananthi, S. Varthini. 2013

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Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification (2021, background): “It has solved or partially solved the problems of low performance [22], lack of actual images [23], and segmented operation [26] of traditional machine learning methods.”
Current and future applications of statistical machine learning algorithms for agricultural machine vision systems (2019, background): “Arivazhagan et al. (2013) followed five main steps to identify plant diseases as follows: image acquisition, colour transformation, masked green pixels as segmentation process, computation of texture statistics by colour co-occurrence matrix and finally classifier is used for the features that are…”
Plants Disease Identification and Classification Through Leaf Images: A Survey (2018, methodology): “HSI (I for intensity), another similar color space is also used [1, 49–52].”
An In-field Automatic Wheat Disease Diagnosis System (2017, background): “With the development of computer vision, concerns are growing about the image-based detection technologies for crop disease (Camargo and Smith, 2009; Arivazhagan et al., 2013; Barbedo, 2014; Rastogi et al., 2015), which gets rid of the shackles of time cost and molecular analysis equipments…”
Detection of plant leaf diseases using image segmentation and soft computing techniques (2017, background): “[4] Arivazhagan S, Newlin Shebiah R, Ananthi S, Vishnu Varthini S.”