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To achieve automatic diagnosis of plant diseases and improve the image recognition accuracy of plant diseases, two kinds of grape diseases (grape downy mildew and grape powdery mildew) and two kinds of wheat diseases (wheat stripe rust and wheat leaf rust) were selected as research objects, and the image recognition of the diseases was conducted based on image processing and pattern recognition. After...
Plant disease identification based on image processing could quickly and accurately provide useful information for the prediction and control of plant diseases. In this study, 21 color features, 4 shape features and 25 texture features were extracted from the images of two kinds wheat diseases (wheat stripe rust and wheat leaf rust) and two kinds of grape diseases (grape downy mildew and grape powdery...
The problem of sensor-fault detection and diagnosis (FDD) of maglev system was studied based on principal component analysis (PCA). First, the mathematic model of single electromagnet suspension system was constructed, and then a sensor-FDD strategy was designed for it based on PCA. The performance of the FDD strategy was simulated. At last, tracking-differentiator (TD) was introduced into the sensor-FDD...
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