Search Results - "Chen, Yinwen"

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  1. 1

    Study on the timeliness of English teaching for college students under the background of multimedia by Chen, Yinwen

    Published in Applied mathematics and nonlinear sciences (01-01-2024)
    “…Starting with the actual multimedia English teaching, this paper analyzes the advantages of an intelligent learning environment as well as the application of…”
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    Journal Article
  2. 2

    Potential of solar-induced chlorophyll fluorescence (SIF) to access long-term dynamics of soil salinity using OCO-2 satellite data and machine learning method by Du, Ruiqi, Xiang, Youzhen, Chen, Junying, Lu, Xianghui, Wu, Yuxiao, He, Yujie, Xiang, Ru, Zhang, Zhitao, Chen, Yinwen

    Published in Geoderma (01-04-2024)
    “…•Sensetivity of SIF to soil salt varies globally with land uses.•SIF has limitations on herbaceous cover and sparse vegetation.•Globally, 54.98 Mha…”
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  3. 3

    Estimation of soil salt content by combining UAV-borne multispectral sensor and machine learning algorithms by Wei, Guangfei, Li, Yu, Zhang, Zhitao, Chen, Yinwen, Chen, Junying, Yao, Zhihua, Lao, Congcong, Chen, Huifang

    Published in PeerJ (San Francisco, CA) (28-04-2020)
    “…Soil salinization is a global problem closely related to the sustainable development of social economy. Compared with frequently-used satellite-borne sensors,…”
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  4. 4

    Quantitatively estimating main soil water-soluble salt ions content based on Visible-near infrared wavelength selected using GC, SR and VIP by Wang, Haifeng, Chen, Yinwen, Zhang, Zhitao, Chen, Haorui, Li, Xianwen, Wang, Mingxiu, Chai, Hongyang

    Published in PeerJ (San Francisco, CA) (22-01-2019)
    “…Soil salinization is the primary obstacle to the sustainable development of agriculture and eco-environment in arid regions. The accurate inversion of the…”
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  5. 5
  6. 6

    Radar remote sensing-based inversion model of soil salt content at different depths under vegetation by Chen, Yinwen, Du, Yuyan, Yin, Haoyuan, Wang, Huiyun, Chen, Haiying, Li, Xianwen, Zhang, Zhitao, Chen, Junying

    Published in PeerJ (San Francisco, CA) (26-04-2022)
    “…Excessive soil salt content (SSC) seriously affects the crop growth and economic benefits in the agricultural production area. Prior research mainly focused on…”
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  7. 7
  8. 8

    Timely monitoring of soil water-salt dynamics within cropland by hybrid spectral unmixing and machine learning models by Ruiqi Du, Junying Chen, Youzhen Xiang, Ru Xiang, Xizhen Yang, Tianyang Wang, Yujie He, Yuxiao Wu, Haoyuan Yin, Zhitao Zhang, Yinwen Chen

    “…Soil salinization and water scarcity are main restrictive factors for irrigated agriculture development in arid regions. Knowing dynamics of soil water and…”
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  9. 9

    Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices by Zhou, Yongcai, Lao, Congcong, Yang, Yalong, Zhang, Zhitao, Chen, Haiying, Chen, Yinwen, Chen, Junying, Ning, Jifeng, Yang, Ning

    Published in Agricultural water management (01-10-2021)
    “…Timely and accurate detection of crop water stress is vital for precision irrigation. Whether the accuracy of the prevailing diagnosis of crop water stress…”
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  10. 10

    Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection by Lao, Congcong, Chen, Junying, Zhang, Zhitao, Chen, Yinwen, Ma, Yu, Chen, Haorui, Gu, Xiaobo, Ning, Jifeng, Jin, Jiming, Li, Xianwen

    Published in Computers and electronics in agriculture (01-03-2021)
    “…•Fractional-order derivative algorithm was used to process soil VIS-NIR spectroscopy.•The correlation coefficient with most soil salt ions were best at…”
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  11. 11

    Retrieval of cotton plant water content by UAV-based vegetation supply water index (VSWI) by Chen, Shuobo, Chen, Yinwen, Chen, Junying, Zhang, Zhitao, Fu, Qiuping, Bian, Jiang, Cui, Ting, Ma, Yizhe

    Published in International journal of remote sensing (02-06-2020)
    “…Knowing plant water content (PWC) is of great significance for precision irrigation of field crop. The aim of this study is to monitor the PWC of cotton…”
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  12. 12

    Preparation of α‐Deuterated Lactic Acid Derivatives through Remote Heteroaryl Migration and Radical‐Polar Crossover Deuteration by Chen, Yinwen, Liu, Jige, Sun, Yuqian, Wu, Xinxin, Zhu, Chen

    Published in European journal of organic chemistry (19-02-2024)
    “…A novel photoredox‐neutral 1,2,5‐trifunctionalization of α‐hydroxyhexenoates is disclosed. The radical cascade proceeds via heteroaryl migration‐enabled alkene…”
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  13. 13

    Effect of spring irrigation on soil salinity monitoring with UAV-borne multispectral sensor by Yang, Ning, Yang, Shuai, Cui, Wenxuan, Zhang, Zhitao, Zhang, Junrui, Chen, Junying, Ma, Yu, Lao, Congcong, Song, Zhishuang, Chen, Yinwen

    Published in International journal of remote sensing (02-12-2021)
    “…Soil salinization is one of the main problems hindering the agricultural development in the arid and semi-arid regions. However, many previous studies of soil…”
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  14. 14

    Optimal window size selection for spectral information extraction of sampling points from UAV multispectral images for soil moisture content inversion by Bai, Xuqian, Chen, Yinwen, Chen, Junying, Cui, Wenxuan, Tai, Xiang, Zhang, Zhitao, Cui, Jiguang, Ning, Jifeng

    Published in Computers and electronics in agriculture (01-11-2021)
    “…[Display omitted] •Different window sizes will affect the monitoring accuracy of soil moisture;•It is feasible to select the optimal window size with the local…”
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  15. 15

    Soil Salinity Estimation Based on Sentinel-1/2 Texture Features and Machine Learning by He, Yujie, Yin, Haoyuan, Chen, Yinwen, Xiang, Ru, Zhang, Zhitao, Chen, Haiying

    Published in IEEE sensors journal (01-05-2024)
    “…Soil salinization is a vital factor in global land degradation, seriously affecting sustainable agricultural development. Efficient monitoring of soil salinity…”
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  16. 16

    Simultaneous estimation of surface soil moisture and salinity during irrigation with the moisture-salinity-dependent spectral response model by Du, Ruiqi, Chen, Junying, Zhang, Zhitao, Chen, Yinwen, He, Yujie, Yin, Haoyuan

    Published in Agricultural water management (01-05-2022)
    “…Soil moisture and salinity are both important environmental variables for crop growth in agricultural production areas. Optical remote-sensing datasets from…”
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  17. 17

    Monitoring salinity in bare soil based on Sentinel-1/2 image fusion and machine learning by He, Yujie, Zhang, Zhitao, Xiang, Ru, Ding, Binbin, Du, Ruiqi, Yin, Haoyuan, Chen, Yinwen, Ba, Yalan

    Published in Infrared physics & technology (01-06-2023)
    “…•Radar image and spectral images were fused for monitoring soil salinity.•Soil salinity inversion models were built based on Sentinel-1/2 fusion and machine…”
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  18. 18

    Improving estimation of maize leaf area index by combining of UAV-based multispectral and thermal infrared data: The potential of new texture index by Yang, Ning, Zhang, Zhitao, Zhang, Junrui, Guo, Yuhong, Yang, Xizhen, Yu, Guangduo, Bai, Xuqian, Chen, Junying, Chen, Yinwen, Shi, Liangsheng, Li, Xianwen

    Published in Computers and electronics in agriculture (01-11-2023)
    “…•New texture indices were constructed by texture metrics and effectively used to estimate LAI of maize.•The potential of UAV-based thermal infrared sensor for…”
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  19. 19

    Monitoring soil moisture in winter wheat with crop water stress index based on canopy-air temperature time lag effect by Zhang, Qiuyu, Yang, Xizhen, Liu, Chang, Yang, Ning, Yu, Guangduo, Zhang, Zhitao, Chen, Yinwen, Yao, Yifei, Hu, Xiaotao

    Published in International journal of biometeorology (01-04-2024)
    “…Crop water stress index ( CWSI ) has been widely used in soil moisture monitoring. However, the influence of the time lag effect between canopy temperature and…”
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  20. 20

    The applicability of HYDRUS‐1D to infiltration of water‐repellent soil at different depths by Yang, Yalong, Chen, Yinwen, Chen, Junying, Zhang, Zhitao, Li, Yi, Du, Yuyan

    Published in European journal of soil science (01-09-2021)
    “…HYDRUS‐1D has been extensively applied to the simulation of wettable soil infiltration, but very few studies have explored its applicability to the…”
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