Kang Yu

About Kang Yu

Kang Yu, With an exceptional h-index of 21 and a recent h-index of 20 (since 2020), a distinguished researcher at Technische Universität München, specializes in the field of precision agriculture, plant phenotyping, hyperspectral, remote sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

frontiers Research Topics March 2024

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

Drone Multispectral Imaging Captures the Effects of Soil Nmin on Canopy Structure and Nitrogen Use Efficiency in wheat

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

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

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

Kang Yu Information

University

Position

(TUM)

Citations(all)

2996

Citations(since 2020)

2364

Cited By

1449

hIndex(all)

21

hIndex(since 2020)

20

i10Index(all)

32

i10Index(since 2020)

30

Email

University Profile Page

Google Scholar

Kang Yu Skills & Research Interests

precision agriculture

plant phenotyping

hyperspectral

remote sensing

Top articles of Kang Yu

frontiers Research Topics March 2024

High-Throughput Field Phenotyping to Advance Precision Agriculture and Enhance Genetic Gain, Volume II

2024/3/1

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

2024/2/28

Drone Multispectral Imaging Captures the Effects of Soil Nmin on Canopy Structure and Nitrogen Use Efficiency in wheat

2024/2/13

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

Remote Sensing

2024/1/16

Maize plant detection using UAV-based RGB imaging and YOLOv5

Frontiers in Plant Science

2024/1/4

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

Frontiers in Plant Science

2024/1/3

Kang Yu
Kang Yu

H-Index: 15

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

PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science

2023/4

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

Field Crops Research

2023/3/15

Tracking wheat senescence based on UAV multispectral imaging

2023/7/27

An optical trapezoid model for actual evapotranspiration and winter wheat yield estimation

2023/7/27

Cassava detection under real field conditions using YOLOv5

2023/7/27

UAS-based multispectral imaging and feature selection for yield prediction

2023/7/27

Improving the generalization ability of random forest for potato chlorophyll estimation through integrating experimental and simulated canopy spectral data

2023/7/27

Stay-green monitoring for maize drought tolerance under field environments using leaf hyperspectral data

2023/7/2

A novel method for actual evapotranspiration from a soil moisture optical trapezoid model

EGU General Assembly Conference Abstracts

2023/5

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

Environmental Technology & Innovation

2023/5/1

Detecting cassava plants under different field conditions using UAV-based RGB images and deep learning models

Remote Sensing

2023/4/28

Kang Yu
Kang Yu

H-Index: 15

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

bioRxiv

2022/11/17

Ozoemena Ani
Ozoemena Ani

H-Index: 7

Kang Yu
Kang Yu

H-Index: 15

UAV-based multi-temporal thermal imaging to evaluate wheat drought resistance in different deficit irrigation regimes

Remote Sensing

2022/11/7

Characterization of N distribution in different organs of winter wheat using UAV-based remote sensing

bioRxiv

2022/11/3

See List of Professors in Kang Yu University(Technische Universität München)

Co-Authors

academic-engine