A5009907364- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Remote Sensing and LiDAR Applications
- Viral gastroenteritis research and epidemiology
- Influenza Virus Research Studies
- Food Supply Chain Traceability
- Plant Water Relations and Carbon Dynamics
- Advanced Clustering Algorithms Research
- Effects of Environmental Stressors on Livestock
- Antibiotic Resistance in Bacteria
- Soil erosion and sediment transport
- Genomics and Rare Diseases
- Immune Response and Inflammation
- Rice Cultivation and Yield Improvement
- Text and Document Classification Technologies
- Advanced Manufacturing and Logistics Optimization
- Data Mining Algorithms and Applications
- Advanced Measurement and Detection Methods
- Respiratory viral infections research
- Animal Virus Infections Studies
- Rough Sets and Fuzzy Logic
- Complex Network Analysis Techniques
- Salmonella and Campylobacter epidemiology
- Spectroscopy and Chemometric Analyses
- Escherichia coli research studies
University of Missouri
2020-2024
Shandong Normal University
2022-2023
Systems Technology (United States)
2022
Plant (United States)
2022
South China Agricultural University
2019
Abstract SARS-CoV-2 is a zoonotic virus with documented bi-directional transmission between people and animals. Transmission of from humans to free-ranging white-tailed deer ( Odocoileus virginianus ) poses unique public health risk due the potential for reservoir establishment where variants may persist evolve. We collected 8,830 respiratory samples across Washington, D.C. 26 states in United States November 2021 April 2022. obtained 391 sequences identified 34 Pango lineages including...
Abstract. Accurate estimation of crop yield before harvest, especially in early growth stages, is important for farmers and researchers to optimize field management evaluate performance. However, existing in-field methods estimating are not efficient. The goal this research was the performance a UAV-based remote sensing system with low-cost RGB camera estimate cotton based on plant height. UAV acquired images at 50 m above ground level over first flower stage. Waypoints flight speed were...
Abstract Escherichia coli ( E. ) are typically present as commensal bacteria in the gastro-intestinal tract of most animals including poultry species, but some avian pathogenic (APEC) strains can cause localized and even systematic infections domestic poultry. Emergence re-emergence antimicrobial resistant isolates (AMR) constrain antibiotics usage production, development an effective vaccination program remains one primary options disease prevention control for Thus, understanding genetic...
Crop stand count and uniformity are important measures for making proper field management decisions to improve crop production. Conventional methods evaluating based on visual observation time consuming labor intensive, it difficult adequately cover a large field. The overall goal of this study was evaluate cotton emergence at two weeks after planting using unmanned aerial vehicle (UAV)-based high-resolution narrow-band spectral indices that were collected pushbroom hyperspectral imager...
Abstract Migratory waterfowl, gulls, and shorebirds serve as natural reservoirs for influenza A viruses, with potential spillovers to domestic poultry humans. The intricacies of interspecies adaptation among avian species, particularly from wild birds poultry, are not fully elucidated. In this study, we investigated the molecular mechanisms underlying species barriers in H7 transmission, factors responsible disproportionate distribution infected A/Anhui/1/2013 (AH/13)-lineage H7N9 viruses....
Detection and tracking of pigs are important for analyzing pig behavior using computer vision. However, in natural environments, illumination changes, complex scenes, adhesion, occlusion, individual identification from multiple objects challenges detection tracking. This paper provided an anti-interference algorithm based on video analysis. Firstly, were recognized environment color information, noises removed the analysis connected regions binary images. Secondly, separated by contours...
<b><sc>Abstract.</sc></b> <b>Accurate estimation of crop yield before harvest, especially in early growth stages, is important for farmers and researchers to optimize field management evaluate performance. However, conventional methods using ground sensing estimate are not efficient. The goal this research was the potential a UAV-based remote system with low-cost RGB camera cotton within season. UAV took images at 50 m above level over stage first flower. Waypoints flight speed were selected...
<b>Abstract.</b> It is important to assess the stand count of crops in seedling stage for making proper field management decisions, such as replanting, improve crop production. The conventional method counting manually time consuming and labor intensive, which makes it difficult adequately cover a large field. Use an unmanned aerial vehicle (UAV) high throughput tool could make this task more efficient. Cotton seedlings are small not easily seen UAV-based RGB images. Hyperspectral images...
Detection and tracking of pigs are important for analyzing pig behavior using computer vision. However, in natural environments, illumination changes, complex scenes, adhesion, occlusion, individual identification from multiple objects challenges detection tracking. This paper provided an anti-interference algorithm based on video analysis. Firstly, were recognized environment color information, noises removed the analysis connected regions binary images. Secondly, separated by contours...
ABSTRACT Between 2013 and 2018, the novel A/Anhui/1/2013 (AH/13)-lineage H7N9 virus caused at least five waves of outbreaks in humans, totaling 1,567 confirmed human cases China. Surveillance data indicated a disproportionate distribution poultry infected with this AH/13-lineage virus, laboratory experiments demonstrated that can efficiently spread among chickens but not Pekin ducks. The underlying mechanism selective transmission remains unclear. In study, we absence Neu5Gc expression...
SARS-CoV-2 usually evolves at a relatively constant rate over time. Occasionally, however, lineages arise with higher-than-expected numbers of mutations given the date sampling. Such can for variety reasons, including selection pressures imposed by evolution during chronic infection or exposure to mutation-inducing drugs like molnupiravir. We have developed an open-source web-based application (SMDP: Mutation Distribution Profiler; https://eringill.shinyapps.io/covid_mutation_distributions)...
Competitive product analysis is to analyze and make horizontal comparison of competitors' products, which an important reference basis for determining the direction automotive development. And clustering one commonly used data methods, such as K-means, Density peaks clustering(DPC) etc. However, K-means DPC both have disadvantages, so we proposed improved i.e., MP-DP-Kmeans. Firstly, MP-similarity created instead traditional Euclidean distance. Then, in order obtain better results, initial...
<sc>Abstract.</sc>Artificial intelligence technologies, including machine learning and deep learning, has shown the potential of transforming agriculture beyond our imaginations thanks to their abilities in extraction hidden-layer information big data. In recent years, algorithms have been widely studied process analyze imagery data collected using UAV-based imaging systems precision plant high throughput phenotyping. Deep-learning based analytic methods acquired higher accuracy estimation...
Density peaks clustering (DPC) is a simple and effective algorithm. However, the results are greatly impacted by chain reaction due to its special allocation strategy. To solve this problem, we proposed an automatic density based on cosine similarity (ADPC) in paper. First, data points seen as vectors each attribute value corresponded coordinate measure similarity, which represents points' considers both direction size of vectors. In theory, varies from 0 1, bigger, result will be better....