Dunliang Wang

ORCID: 0000-0003-0640-7613
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About
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Research Areas
  • Remote Sensing in Agriculture
  • Smart Agriculture and AI
  • Spectroscopy and Chemometric Analyses
  • Leaf Properties and Growth Measurement
  • Congenital Heart Disease Studies
  • Congenital Diaphragmatic Hernia Studies
  • Remote Sensing and LiDAR Applications
  • Remote Sensing and Land Use
  • Tracheal and airway disorders
  • Intensive Care Unit Cognitive Disorders
  • Cardiac, Anesthesia and Surgical Outcomes
  • Crop Yield and Soil Fertility
  • Cardiovascular Issues in Pregnancy
  • Agriculture, Plant Science, Crop Management
  • Urban Heat Island Mitigation
  • Environmental Changes in China
  • Aortic Disease and Treatment Approaches

Yangzhou University
2018-2023

Sanming Agricultural Science Research Institute
2023

Qingdao University
2022

Qingdao Women and Children's Hospital
2022

Fraction of photosynthetically active radiation (FPAR), as an important index for evaluating yields and biomass production, is key to providing the guidance crop management. However, shortage good hyperspectral data can frequently result in hindrance accurate reliable FPAR assessment, especially wheat. In present research, aiming at developing a strategy relationships between wheat canopy vegetation indexes derived from concurrent ground-measured were explored. revealed most strongly...

10.3389/fpls.2018.00776 article EN cc-by Frontiers in Plant Science 2018-06-07

Hyperspectral remote sensing is a rapid non-destructive method for diagnosing nitrogen status in wheat crops. In this study, quantitative correlation was associated with following parameters: leaf accumulation (LNA), raw hyperspectral reflectance, first-order differential hyperspectra, and characteristics of wheat. integrated linear regression LNA obtained reflectance (measurement wavelength = 790.4 nm). Furthermore, an exponential hyperspectra 831.7 Coefficients (R2) were 0.813 0.847; root...

10.3389/fpls.2018.00674 article EN cc-by Frontiers in Plant Science 2018-05-23

Aboveground biomass (AGB) is an important basis for wheat yield formation. It useful to timely collect the AGB data monitor growth and build high-yielding groups. However, as traditional acquisition relies on destructive sampling, it difficult adapt modernization of agriculture, estimation accuracy spectral alone low cannot solve problem index saturation at later stages. In this study, unmanned aerial vehicle (UAV) with RGB camera real-time kinematic (RTK) was used obtain imagery elevation...

10.3390/agriculture13010009 article EN cc-by Agriculture 2022-12-21

Wheat spike number, which could be rapidly and accurately estimated by the image processing technology, serves as basis for crop growth monitoring yield prediction. In this research, simple linear iterative clustering (SLIC) was performed superpixel segmentation of digital images field-grown wheat. Firstly, certain characteristic color parameters were extracted analyzed from images, classifiers with highest accuracy chosen subsequent classification. Next, main body wheat through a series...

10.3389/fpls.2020.00259 article EN cc-by Frontiers in Plant Science 2020-03-06

Remote sensing has been used as an important means of modern crop production monitoring, especially for wheat quality prediction in the middle and late growth period. In order to further improve accuracy estimating grain protein content (GPC) through remote sensing, this study analyzed quantitative relationship between 14 variables obtained from images environment disaster monitoring forecasting small satellite constellation system equipped with wide-band CCD sensors (abbreviated HJ-CCD)...

10.1371/journal.pone.0228500 article EN cc-by PLoS ONE 2020-03-11

Abstract Timely and efficient monitoring of crop aboveground biomass (AGB) grain yield (GY) forecasting before harvesting are critical for improving yields ensuring food security in precision agriculture. The purpose this study is to explore the potential fusing source–sink‐level color, texture, temperature values extracted from RGB images thermal based on proximal sensing technology improve prediction. High‐quality wheat flowering maturity under different treatments nitrogen application...

10.1002/fes3.434 article EN cc-by Food and Energy Security 2022-12-13

This study aimed to analyze and evaluate the results of mid-term follow-up after fetal pulmonary valvuloplasty (FPV) in fetuses with atresia intact ventricular septum (PA/IVS).From August 31, 2018, May 2019, seven PA/IVS hypoplastic right heart were included this study. All underwent echocardiography by same specialist operated on team. Intervention data collected, changes associated indices noted during analyzed.All successfully FPV. The median gestational age at FPV was 27.54 weeks....

10.1016/j.jimed.2022.04.001 article EN cc-by-nc-nd Journal of interventional medicine 2022-06-17

To the Editor: Fetal pulmonary atresia with intact ventricular septum (PA/IVS) or critical stenosis (CPS) is a progressive disease from time of mid-gestation diagnosis to birth. Elevated right (RV) afterload results in RV hypertrophy and reduced compliance, as well lack flow through side heart, which leads tricuspid valve growth arrest, secondary damage myocardium. Studies have shown that size, Z-score, regurgitation (TR), ventricle dependent coronary circulation (RVDCC), subaortic are all...

10.1097/cm9.0000000000002268 article EN cc-by-nc-nd Chinese Medical Journal 2022-08-04

Wheat is one of the most important food crops in world, and its high stable yield great significance for ensuring security. Timely, non-destructive, accurate monitoring wheat growth information optimizing cultivation management, improving fertilizer utilization efficiency, quality. Different color indices vegetation were calculated based on reflectance canopy obtained by a UAV remote sensing platform equipped with digital camera hyperspectral camera. Three variable-screening algorithms,...

10.3390/agronomy13112808 article EN cc-by Agronomy 2023-11-13
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