Search Results - "Tian, Yongchao"

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  1. 1

    Updates to JRC-JCS model for estimating the peak shear strength of rock joints based on quantified surface description by Liu, Quansheng, Tian, Yongchao, Liu, Dongfeng, Jiang, Yalong

    Published in Engineering geology (13-10-2017)
    “…The surface morphology of joints has a significant effect on the mechanical properties of rock masses. The key morphological indices developed in this study…”
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    Journal Article
  2. 2

    A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5 by Zhao, Jianqing, Zhang, Xiaohu, Yan, Jiawei, Qiu, Xiaolei, Yao, Xia, Tian, Yongchao, Zhu, Yan, Cao, Weixing

    Published in Remote sensing (Basel, Switzerland) (05-08-2021)
    “…Deep-learning-based object detection algorithms have significantly improved the performance of wheat spike detection. However, UAV images crowned with…”
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    Journal Article
  3. 3

    Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery by Zheng, Hengbiao, Cheng, Tao, Zhou, Meng, Li, Dong, Yao, Xia, Tian, Yongchao, Cao, Weixing, Zhu, Yan

    Published in Precision agriculture (01-06-2019)
    “…Crop aboveground biomass (AGB) is one of the most important indicators in crop breeding and crop management, and can be used for crop yield prediction. A…”
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    Journal Article
  4. 4

    Numerical simulation of stress-strain behaviour of cemented paste backfill in triaxial compression by Liu, Quansheng, Liu, Dongfeng, Tian, Yongchao, Liu, Xiaoyan

    Published in Engineering geology (14-12-2017)
    “…This paper develops a numerical model to reproduce the stress-strain curve of cemented paste backfill (CPB) based on the discrete element method-2 dimensional…”
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    Journal Article
  5. 5

    Predicting grain yield and protein content in wheat by fusing multi-sensor and multi-temporal remote-sensing images by Wang, Laigang, Tian, Yongchao, Yao, Xia, Zhu, Yan, Cao, Weixing

    Published in Field crops research (01-08-2014)
    “…•An algorithm for fusing vegetation indices with different spatial and temporal resolution was developed.•The optimal spectral index for predicting grain yield…”
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  6. 6

    Experimental Investigation of the Peak Shear Strength Criterion Based on Three-Dimensional Surface Description by Liu, Quansheng, Tian, Yongchao, Ji, Peiqi, Ma, Hao

    Published in Rock mechanics and rock engineering (01-04-2018)
    “…The three-dimensional (3D) morphology of joints is enormously important for the shear mechanical properties of rock. In this study, three-dimensional…”
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    Journal Article
  7. 7

    New peak shear strength model for cement filled rock joints by Tian, Yongchao, Liu, Quansheng, Ma, Hao, Liu, Qi, Deng, Penghai

    Published in Engineering geology (31-01-2018)
    “…Grouting can significantly improve the mechanical properties of a fractured rock mass. A set of indoor grouting test systems is designed, and 3D scanning and…”
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  8. 8

    Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral Imagery by Yao, Xia, Wang, Ni, Liu, Yong, Cheng, Tao, Tian, Yongchao, Chen, Qi, Zhu, Yan

    Published in Remote sensing (Basel, Switzerland) (01-12-2017)
    “…Leaf area index (LAI) is a significant biophysical variable in the models of hydrology, climatology and crop growth. Rapid monitoring of LAI is critical in…”
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    Journal Article
  9. 9

    Climate change impacts on regional rice production in China by Lv, Zunfu, Zhu, Yan, Liu, Xiaojun, Ye, Hongbao, Tian, Yongchao, Li, Feifei

    Published in Climatic change (01-04-2018)
    “…Rice ( Oryza sativa L.) production is an important contributor to China’s food security. Climate change, and its impact on rice production, presents challenges…”
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  10. 10

    Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice by Zheng, Hengbiao, Cheng, Tao, Li, Dong, Yao, Xia, Tian, Yongchao, Cao, Weixing, Zhu, Yan

    Published in Frontiers in plant science (03-07-2018)
    “…Plant nitrogen concentration (PNC) is a critical indicator of N status for crops, and can be used for N nutrition diagnosis and management. This work aims to…”
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    Journal Article
  11. 11

    Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system by Lu, Ning, Zhou, Jie, Han, Zixu, Li, Dong, Cao, Qiang, Yao, Xia, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Cheng, Tao

    Published in Plant methods (20-02-2019)
    “…Aboveground biomass (AGB) is a widely used agronomic parameter for characterizing crop growth status and predicting grain yield. The rapid and accurate…”
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    Journal Article
  12. 12

    Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle by Fu, Zhaopeng, Jiang, Jie, Gao, Yang, Krienke, Brian, Wang, Meng, Zhong, Kaitai, Cao, Qiang, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Liu, Xiaojun

    Published in Remote sensing (Basel, Switzerland) (01-02-2020)
    “…Leaf area index (LAI) and leaf dry matter (LDM) are important indices of crop growth. Real-time, nondestructive monitoring of crop growth is instructive for…”
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    Journal Article
  13. 13

    TRiP : a transfer learning based rice disease phenotype recognition platform using SENet and microservices by Yuan, Peisen, Xia, Ye, Tian, Yongchao, Xu, Huanliang

    Published in Frontiers in plant science (24-01-2024)
    “…Classification of rice disease is one significant research topics in rice phenotyping. Recognition of rice diseases such as , , , , and are a critical research…”
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  14. 14

    Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice by Zheng, Hengbiao, Cheng, Tao, Li, Dong, Zhou, Xiang, Yao, Xia, Tian, Yongchao, Cao, Weixing, Zhu, Yan

    Published in Remote sensing (Basel, Switzerland) (01-06-2018)
    “…Unmanned aerial system (UAS)-based remote sensing is one promising technique for precision crop management, but few studies have reported the applications of…”
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  15. 15

    Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation by Li, Songyang, Yuan, Fei, Ata-UI-Karim, Syed Tahir, Zheng, Hengbiao, Cheng, Tao, Liu, Xiaojun, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Cao, Qiang

    Published in Remote sensing (Basel, Switzerland) (01-08-2019)
    “…Leaf area index (LAI) is a fundamental indicator of plant growth status in agronomic and environmental studies. Due to rapid advances in unmanned aerial…”
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    Journal Article
  16. 16

    Monitoring leaf potassium content using hyperspectral vegetation indices in rice leaves by Lu, Jingshan, Yang, Tiancheng, Su, Xi, Qi, Hao, Yao, Xia, Cheng, Tao, Zhu, Yan, Cao, Weixing, Tian, Yongchao

    Published in Precision agriculture (01-04-2020)
    “…Potassium (K) is one of three main crop nutrients, and the high rate of potash fertilizer utilization (second only to nitrogen) leads to high prices…”
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  17. 17

    A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle by Zheng, Hengbiao, Li, Wei, Jiang, Jiale, Liu, Yong, Cheng, Tao, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Zhang, Yu, Yao, Xia

    Published in Remote sensing (Basel, Switzerland) (01-12-2018)
    “…Unmanned aerial vehicle (UAV)-based remote sensing (RS) possesses the significant advantage of being able to efficiently collect images for precision…”
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  18. 18

    Using a Portable Active Sensor to Monitor Growth Parameters and Predict Grain Yield of Winter Wheat by Zhang, Jiayi, Liu, Xia, Liang, Yan, Cao, Qiang, Tian, Yongchao, Zhu, Yan, Cao, Weixing, Liu, Xiaojun

    Published in Sensors (Basel, Switzerland) (05-03-2019)
    “…Rapid and effective acquisition of crop growth information is a crucial step of precision agriculture for making in-season management decisions. Active canopy…”
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  19. 19

    Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages by Zhang, Ke, Ge, Xiaokang, Shen, Pengcheng, Li, Wanyu, Liu, Xiaojun, Cao, Qiang, Zhu, Yan, Cao, Weixing, Tian, Yongchao

    Published in Remote sensing (Basel, Switzerland) (14-02-2019)
    “…Predicting the grain yield during early to mid-growth stages is important for initial diagnosis of rice and quantitative regulation of topdressing. In this…”
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  20. 20

    Extremely large deformation of tunnel induced by rock mass fracture using GPGPU parallel FDEM by Ma, Hao, Wang, Weiqin, Liu, Quansheng, Tian, Yongchao, Jiang, Yalong, Liu, He, Huang, Dan

    “…It is essential to better understand the large deformation behavior of deep tunnels in weak rock mass to improve the long‐term stability of tunnel surrounding…”
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