This flowchart is intended to help both commercial citrus growers and home gardeners in properly identifying common diseases on fruit, leaves, stems. Proper identification will determine the appropriate management strategy. Written by Amit Levy, Jamie D. Burrow, Megan M. Dewdney, published UF/IFAS Plant Pathology Department.https://edis.ifas.ufl.edu/pp367

In this study application of convolutional neural networks (CNNs) preceded by synthetic aperture radar (SAR), image segmentation for sea ice concentration (SIC) estimation over the Baltic Sea from dual-polarized C-band SAR imagery is studied. Three algorithm variants were studied and trained using FMI chart SIC or a dataset with different values generated combining pure open water blocks applyi...

The current thunderstorm monitoring methods ignore the nonlinear and non-stationary characteristics of atmospheric electric field signals, which has a negative effect on results. Based complementary ensemble empirical mode decomposition with adaptive noise Savitzky-Golay filtering (CEEMDAN-SG), point charge localization method for cloud is proposed. After CEEMDAN used to decompose signal into s...

As a security defense technique to protect networks from attacks, network intrusion detection model plays crucial role in the of computer systems and networks. Aiming at shortcomings complex feature extraction process insufficient information existing models, an named FCNN-SE, which uses fusion convolutional neural (FCNN) for stacked ensemble (SE) classification, is proposed this paper. The mai...

a new method is developed for a fast identification of the stability situation of industrial processes. the proposed method includes two factor ratios of the control constants for the upper and lower control limits to process these constants. an indication ratio is then defined as the ratio of the maximum data range value to the difference between the maximum and average values for individual d...