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Plant diseases impact extensively on agricultural production growth It results in a price hike on food grains and vegetables To reduce economic loss and to predict yield loss early detection of plant disease is highly essential Current plant disease detection involves the physical presence of domain experts to ascertain the disease; this approach has significant
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Hossain et al [39] introduced a color and texture based method using a KNN classifier to detect and classify plant leaf diseases Texture features were extracted for classification from diseased leaf images Moreover the employed KNN Classifier classifies plant diseases such as canker leaf spot alternate and bacterial blight
hyperparameters of common Machine Learning classifiers and Deep Learning architectures in order to make precise diagnoses of plant diseases The first stage makes use of common image processing methods using ml classifiers; the input picture is median filtered contrast increased and the background is
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In this paper we introduce a DBN based abnormal event classifier and an architecture to implement this classifier as part of a monitoring system An experimental environment is setup with a two tank system in conjunction with a nuclear power plant simulator and a programmable logic controller A set of 27 cyber attacks and 14 safety events were
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Description Plant Species Identification Using OpenCV and Python Species knowledge is essential for protecting biodiversity The identification of plants by conventional keys is complex time consuming and due to the use of specific botanical terms frustrating for non experts
mini information representing th e useful classifier to detect plant disease [10] stock price prediction [11] handwriting classification [12] bank fraud detection [13] credit card
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In this paper we introduce a DBN based abnormal event classifier and an architecture to implement this classifier as part of a monitoring system An experimental environment is setup with a two tank system in conjunction with a nuclear power plant simulator and a programmable logic controller A set of 27 cyber attacks and 14 safety events were
This paper introduces an approach of plant classification which is based on the characterization of texture properties We used the combined classifier learning vector quantization
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