Search Results - "Tian, Yongchao"
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Updates to JRC-JCS model for estimating the peak shear strength of rock joints based on quantified surface description
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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A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5
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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Improved estimation of rice aboveground biomass combining textural and spectral analysis of UAV imagery
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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4
Numerical simulation of stress-strain behaviour of cemented paste backfill in triaxial compression
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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Predicting grain yield and protein content in wheat by fusing multi-sensor and multi-temporal remote-sensing images
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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Experimental Investigation of the Peak Shear Strength Criterion Based on Three-Dimensional Surface Description
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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New peak shear strength model for cement filled rock joints
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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Estimation of Wheat LAI at Middle to High Levels Using Unmanned Aerial Vehicle Narrowband Multispectral Imagery
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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Climate change impacts on regional rice production in China
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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Combining Unmanned Aerial Vehicle (UAV)-Based Multispectral Imagery and Ground-Based Hyperspectral Data for Plant Nitrogen Concentration Estimation in Rice
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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Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
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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Wheat Growth Monitoring and Yield Estimation based on Multi-Rotor Unmanned Aerial Vehicle
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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TRiP : a transfer learning based rice disease phenotype recognition platform using SENet and microservices
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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Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in Rice
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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Combining Color Indices and Textures of UAV-Based Digital Imagery for Rice LAI Estimation
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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Monitoring leaf potassium content using hyperspectral vegetation indices in rice leaves
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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A Comparative Assessment of Different Modeling Algorithms for Estimating Leaf Nitrogen Content in Winter Wheat Using Multispectral Images from an Unmanned Aerial Vehicle
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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Using a Portable Active Sensor to Monitor Growth Parameters and Predict Grain Yield of Winter Wheat
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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Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages
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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Extremely large deformation of tunnel induced by rock mass fracture using GPGPU parallel FDEM
Published in International journal for numerical and analytical methods in geomechanics (25-06-2022)“…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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