Xiaoning Yu

ORCID: 0009-0001-9842-2783
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About
Contact & Profiles
Research Areas
  • Water Quality Monitoring Technologies
  • Water Quality Monitoring and Analysis
  • Image Enhancement Techniques
  • Fish Ecology and Management Studies
  • Smart Agriculture and AI
  • Spectroscopy and Chemometric Analyses
  • Water-Energy-Food Nexus Studies
  • Energy and Environment Impacts
  • Hybrid Renewable Energy Systems
  • Manufacturing Process and Optimization
  • Underwater Vehicles and Communication Systems
  • Advanced Image Processing Techniques
  • Drilling and Well Engineering
  • Marine animal studies overview
  • Hydraulic Fracturing and Reservoir Analysis
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Hydrological Forecasting Using AI
  • Advanced Image Fusion Techniques
  • Reservoir Engineering and Simulation Methods
  • Innovations in Aquaponics and Hydroponics Systems
  • Marine Bivalve and Aquaculture Studies
  • GABA and Rice Research

Zhengzhou Institute of Machinery
2024

China Agricultural University
2018-2023

National Engineering Research Center for Information Technology in Agriculture
2021-2023

Ministry of Agriculture and Rural Affairs
2021-2023

Southwest University
2020

Intelligent feeding will be an important mechanism for future aquaculture breeding, and the establishment of this system also become a primary concern. At same time, computer vision is rapidly developing as effective intelligent system. The combination two systems contribute to increases in aquaculture, their development based on innovation implementation existing technologies. This review summarizes application progress terms all aspects system, including underwater image preprocessing,...

10.1111/are.14907 article EN Aquaculture Research 2020-10-07

Haploid breeding is one of the most important modern crop selection technologies. Near-infrared spectroscopy (NIRS) has been used to identify haploids rapidly and non-destructively accelerate process. However, change external environment weakens performance model, as training test spectra may be collected separately from different environments. Thus, a novel calibration transfer method proposed calibrate model in order reduce impact environment. The near-infrared 400 maize kernels two...

10.1080/00032719.2018.1459656 article EN Analytical Letters 2018-05-09

Abstract BZ-X field is a marginal with intensive production for more than 10 years. Although it still has potential to achieve higher recovery ratio, complex fault systems of the structure high uncertainty sand channel connectivity, property and set major obstacles exploration residual oil wellbore optimization in this field. Meanwhile water injection, OWC flooded zone are lifting year by year. A method depict reservoir locate trajectory precisely upper part target crucial development team....

10.2523/iptc-24227-ms article EN Day 2 Tue, February 22, 2022 2024-02-12

This article is based on the rolling time domain optimization strategy, with objective of achieving best comprehensive result by minimizing shortest and maximizing total priority scheduling tasks. It designs a strategy for situations where production equipment failures occur. The bi-level genetic algorithm used to solve problem in workshop. Finally, through simulation instances workshop, it verifies that this can effectively dynamic

10.1117/12.3039272 article EN 2024-08-05

The current study was undertaken to assess the environmental adaptability and water capability of Hyriopsis cumingii in a recirculating aquaculture system Chongqing region, Southwestern China.A total 175 species planktonic algae belonging 8 phylum 75 genera were found at all sampling sites.66.3% -80.0% them belong Chlorophyta Bacillariophyta phyla, main food sources bivalve shellfish.The annual investigation results show that range physical chemical indexes fully meets requirements H....

10.15666/aeer/1802_34393454 article EN Applied Ecology and Environmental Research 2020-01-01

In underwater scenes, the absorption and scattering of light reduces quality images, resulting in blurring color distortion which affect accuracy target detection, tracking, navigation. order to address these problems, we have built an three-channel cascade convolutional neural network (UTC-Net) for image enhancement this paper. Specifically, UTC-Net consists a restoration (T-Net) optimization (C-Net). The T-Net recovers gray images under different channels respectively using optical physics...

10.1109/hdis56859.2022.9991369 article EN 2022-12-10
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