3results about How to "Reduce spatial resolution" patented technology

This invention relates to the field of smart agriculture information technology, and discloses an agricultural pest and disease prediction system and method based on multimodal data fusion and edge AI, comprising: a data acquisition module, an edge AI analysis module, and a communication interaction module; the data acquisition module is used to collect agricultural monitoring data containing agricultural environmental information and crop status information; the edge AI analysis module is used to call a pest and disease prediction model that integrates multimodal agricultural feature extraction to perform multimodal joint feature extraction on the agricultural monitoring data containing agricultural environmental information and crop status information, and infer pest and disease prediction results based on the multimodal joint features, and generate pest and disease early warning information based on the pest and disease prediction results; the communication interaction module is used to upload the agricultural monitoring data collected by the data acquisition module and the pest and disease prediction results and pest and disease early warning information output by the edge AI analysis module to a cloud platform. This invention enables agricultural pest and disease prediction on resource-constrained edge devices.

A method and system for super-resolution reconstruction of infrared images based on convolutional neural networks, relating to the field of electronic digital data processing, is disclosed. The method includes: inputting a low-resolution infrared image into a preset convolutional neural network to obtain multi-layer feature maps of the low-resolution infrared image; scaling the feature maps of different layers in the multi-layer feature maps according to a preset ratio and then stitching and fusing them to obtain a fused feature map; generating feature vectors from the fused feature map using global average pooling, and transforming the feature vectors using a fully connected layer to obtain attention weights; weighting the attention weights with the fused feature map to obtain an enhanced feature map; and performing upsampling reconstruction processing on the enhanced feature map using an upsampling structure, introducing a residual connection structure during the upsampling reconstruction process to generate a high-resolution infrared image. Implementing this method generates high-resolution infrared images with more detail.

This invention relates to the field of monitoring corrosion morphology and pH dynamic distribution in steel, and particularly to a rapid and intelligent monitoring method and system for in-situ monitoring of pitting morphology and surrounding pH dynamic distribution during electrochemical testing of steel pitting corrosion. First, an in-situ steel test sample with an observation surface is prepared and encapsulated, and then horizontally mounted in an adjustable electrolytic cell. Next, a methyl orange calibration solution with a pH gradient of 1-7 is prepared, and images of the sample at different pH values ​​are captured and imported into the system for calibration, establishing a quantitative mapping relationship between pH and the Lab values ​​of the calibrated images. Finally, in-situ electrochemical testing is conducted in a colorless salt test solution containing the same concentration of methyl orange, simultaneously monitoring the morphology of pitting initiation and development, as well as the dynamic evolution of the surrounding pH. This system can achieve millisecond-level dynamic in-situ monitoring of the spatial distribution of pH around pitting corrosion during the corrosion growth process, and can continuously capture real-time pH evolution information during the initiation and expansion of pitting corrosion.