Tong Zhang

ORCID: 0009-0002-9747-719X
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Research Areas
  • Membrane Separation Technologies
  • Water-Energy-Food Nexus Studies
  • Membrane-based Ion Separation Techniques
  • Plant Water Relations and Carbon Dynamics
  • Water resources management and optimization
  • Water Systems and Optimization
  • Remote Sensing in Agriculture
  • Energy and Environment Impacts
  • Adsorption and biosorption for pollutant removal
  • Plant Gene Expression Analysis
  • Advanced oxidation water treatment
  • Urban Heat Island Mitigation
  • Food composition and properties
  • Land Use and Ecosystem Services
  • Meat and Animal Product Quality
  • Lignin and Wood Chemistry
  • Remote Sensing and LiDAR Applications
  • Hybrid Renewable Energy Systems
  • Polysaccharides Composition and Applications
  • Plant biochemistry and biosynthesis
  • Arsenic contamination and mitigation
  • Graphene and Nanomaterials Applications
  • Plant Molecular Biology Research
  • Environmental remediation with nanomaterials
  • biodegradable polymer synthesis and properties

China Agricultural University
2013-2025

Northwest Normal University
2024

Tiangong University
2005-2024

Shenyang Agricultural University
2023

Xi'an University of Technology
2023

Zhejiang A & F University
2022

North China Electric Power University
2022

Ministry of Agriculture and Rural Affairs
2019-2022

Jiangsu University
2022

Huawei Technologies (China)
2022

One of the problems optical remote sensing crop above-ground biomass (AGB) is that vegetation indices (VIs) often saturate from middle to late growth stages. This study focuses on combining VIs acquired by a consumer-grade multiple-spectral UAV and machine learning regression techniques (i) determine optimal time window for AGB estimation winter wheat (ii) combination multi-spectral algorithms. UAV-based data manually measured wheat, under five nitrogen rates, were obtained jointing stage...

10.3390/rs14051251 article EN cc-by Remote Sensing 2022-03-04

Further investigation of material properties during the extrusion process is essential to achieve precise control quality extrudate. Whole oat flour was used produce low moisture puffed samples by a twin-screw extruder. X-ray diffraction (XRD), Scanning electron microscopy (SEM), infrared spectroscopy (FTIR), thermal analysis, and rheological experiments were deeply characterize changes in structure cross-linking oats different zones. Results indicated that melting region main changed...

10.3390/foods11152206 article EN cc-by Foods 2022-07-25

SUMMARY Drought stress severely limits plant growth and production in apple ( Malus domestica Borkh.). To breed water‐deficit‐tolerant cultivars that maintain high yields under slight or moderate drought stress, it is important to uncover the mechanisms underlying transcriptional regulation of chlorophyll metabolism apple. explore this mechanism, we generated transgenic ‘Gala3’ plants with overexpression knockdown MdWRKY17 , which encodes a transcription factor whose expression significantly...

10.1111/tpj.15480 article EN The Plant Journal 2021-09-01

Due to the proliferation of precision agriculture, obstacle estimating evapotranspiration (ET) and its components from shadow pixels acquired remote sensing technology should not be neglected. To accurately detect shaded soil leaf quantify implications on ET inversion, a two-year field-scale observation was carried out in growing season for pinot noir vineyard. Based high-resolution sensors covering visible light, thermal infrared, multispectral supervised classification applied pixels....

10.3390/rs14092259 article EN cc-by Remote Sensing 2022-05-07
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