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Kang Yu

Technical University of Munich

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Research Interests

Crop Science

Remote Sensing

Vegetation Dynamics

Drought Physiology

Thermal Imaging

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Articles24

Collaborators5

Marco Körner

Ludwig-Maximilians-Universität München

Chenghao Lu

University of Helsinki

Elisa Van Cleemput

Assistant Professor

Leiden University

Heinz Bernhardt

Ludwig-Maximilians-Universität München

Mirjana Minceva

Professorship of Biothermodynamics

Ludwig-Maximilians-Universität München

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Kang Yu

How do I reach out?

Contact this professor

Research Interests

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Articles24

Weed instance segmentation from UAV Orthomosaic Images based on Deep Learning

Biodiversity monitoring in urban community gardens using proximal sensing and drone remote sensing

High-throughput phenotyping of canopy dynamics of wheat senescence using UAV multispectral imaging

Satellite-based winter wheat yield estimation with a newly parameterized LUE model based on crop water status and leaf chlorophyll content

Potential of Multi-Source Multispectral vs. Hyperspectral Remote Sensing for Winter Wheat Nitrogen Monitoring

Self-attention and frequency-augmentation for unsupervised domain adaptation in satellite image-based time series classification

Winter Wheat Nitrogen Content Prediction and Transferability of Models Based on UAV Image Features

Improving potato leaf chlorophyll content prediction using a machine learning model with a hybrid dataset

A UAV-Proxied Satellite Remote Sensing Approach for Winter Wheat Plant Nitrogen Concentration Mapping

Characterization of N variations in different organs of winter wheat and mapping NUE using low altitude UAV-based remote sensing

Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency

Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models

Maize plant detection using UAV-based RGB imaging and YOLOv5

Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering

Detection of combined frost and drought stress in wheat using hyperspectral and chlorophyll fluorescence imaging

Detecting Cassava Plants under Different Field Conditions Using UAV-Based RGB Images and Deep Learning Models

Machine learning models fed with optimized spectral indices to advance crop nitrogen monitoring

Machine learning models fed with optimized spectral indices to advance crop nitrogen monitoring

OPTRAM-ET: A novel approach to remote sensing of actual evapotranspiration applied to Sentinel-2 and Landsat-8 observations

OPTRAM-ET: A novel approach to remote sensing of actual evapotranspiration applied to Sentinel-2 and Landsat-8 observations

Cassava Detection from UAV Images Using YOLOv5 Object Detection Model: Towards Weed Control in a Cassava Farm

UAV-Based Multi-Temporal Thermal Imaging to Evaluate Wheat Drought Resistance in Different Deficit Irrigation Regimes

UAV-Based Multi-Temporal Thermal Imaging to Evaluate Wheat Drought Resistance in Different Deficit Irrigation Regimes

Multi-temporal UAV Imaging-Based Mapping of Chlorophyll Content in Potato Crop

Collaborators5

Marco Körner

Chenghao Lu

Elisa Van Cleemput

Heinz Bernhardt

Mirjana Minceva

How do I reach out?