Sökresultat - Kang Yu

The increasing adoption of UAV-based remote sensing has transformed disaster response, structural health monitoring, urban building management, topographic change analysis, and disaster rescue. The collection of image information and the assessment of structural damage based on drones are key techno...

Full beskrivning

Selecting optimal input features for the machine learning (ML) models is crucial in estimating plant nitrogen content (PNC). The goals of this study were to (i) identify optimal spectral indices and texture features from RGB and multispectral (MS) images and (ii) improve the accuracy of PNC predicti...

Full beskrivning

In response to the application scenarios of modernized Traditional Chinese Medicine (TCM) diagnostic and treatment equipment moving towards the user end, an effort has been made to enhance the user-friendliness of TCM diagnostic and treatment devices. This involves introducing the concept of edge co...

Full beskrivning

Inflammation is an important immune response in our organism, the intervention of anti-inflammatory substances is critical to control inflammation, in which Cyclooxygenase-2 (COX-2) serves as a key target to inhibit inflammatory factors. This study employed ultrasonic-assisted extraction (UAE) to pr...

Full beskrivning

High-throughput phenotyping of senescence dynamic traits is crucial for plant breeding, yet quantifying these dynamics remains limited due to the challenges in multitemporal measurements and validations, hindering the understanding of the association between senescence dynamics and nitrogen fertiliz...

Full beskrivning

Accurate and timely monitoring of plant nitrogen content (PNC) is essential for precision agriculture (PA) and food security. While multispectral unmanned aerial vehicle (UAV) imagery has shown promise in PNC estimation, the optimal feature combination methods of spectral and texture features remain...

Full beskrivning