Changying "Charlie" Li

Changying "Charlie" Li

University of Georgia

H-index: 39

North America-United States

About Changying "Charlie" Li

Changying "Charlie" Li, With an exceptional h-index of 39 and a recent h-index of 35 (since 2020), a distinguished researcher at University of Georgia, specializes in the field of sensing, agricultural robotics, machine learning, phenomics, precision agriculture.

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

A Ground Mobile Robot for Autonomous Terrestrial Laser Scanning-Based Field Phenotyping

Genotypic variation in functional contributors to yield for a diverse collection of field‐grown cotton

A multiscale computation study on bruise susceptibility of blueberries from mechanical impact

4D imaging for field phenotyping using spatiotemporal registration of high-resolution LiDAR data

Agi for agriculture

Dt/mars-cyclegan: Improved object detection for mars phenotyping robot

Three-View Cotton Flower Counting through Multi-Object Tracking and Multi-Modal Imaging

Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks

Changying "Charlie" Li Information

University

Position

Professor of College of Engineering

Citations(all)

5300

Citations(since 2020)

3713

Cited By

2738

hIndex(all)

39

hIndex(since 2020)

35

i10Index(all)

101

i10Index(since 2020)

79

Email

University Profile Page

University of Georgia

Google Scholar

View Google Scholar Profile

Changying "Charlie" Li Skills & Research Interests

sensing

agricultural robotics

machine learning

phenomics

precision agriculture

Top articles of Changying "Charlie" Li

Title

Journal

Author(s)

Publication Date

A Ground Mobile Robot for Autonomous Terrestrial Laser Scanning-Based Field Phenotyping

arXiv preprint arXiv:2404.04404

Javier Rodriguez-Sanchez

Kyle Johnsen

Changying Li

2024/4/5

Genotypic variation in functional contributors to yield for a diverse collection of field‐grown cotton

Crop Science

Navneet Kaur

John L Snider

Andrew H Paterson

Gurpreet Virk

Ved Parkash

...

2024/3/19

A multiscale computation study on bruise susceptibility of blueberries from mechanical impact

Postharvest Biology and Technology

Jixin Hou

Bosoon Park

Changying Li

Xianqiao Wang

2024/2/1

4D imaging for field phenotyping using spatiotemporal registration of high-resolution LiDAR data

Javier Rodriguez-Sanchez

Kyle Johnsen

Changying Li

2023

Agi for agriculture

arXiv preprint arXiv:2304.06136

Guoyu Lu

Sheng Li

Gengchen Mai

Jin Sun

Dajiang Zhu

...

2023/4/12

Dt/mars-cyclegan: Improved object detection for mars phenotyping robot

arXiv preprint arXiv:2310.12787

David Liu

Zhengkun Li

Zihao Wu

Changying Li

2023/10/19

Three-View Cotton Flower Counting through Multi-Object Tracking and Multi-Modal Imaging

Chenjiao Tan

Changying Li

Jin Sun

Huaibo Song

2023

Cotton plant part 3D segmentation and architectural trait extraction using point voxel convolutional neural networks

Plant Methods

Farah Saeed

Shangpeng Sun

Javier Rodriguez-Sanchez

John Snider

Tianming Liu

...

2023/3/30

Variation in thermotolerance of photosystem II energy trapping, intersystem electron transport, and photosystem I electron acceptor reduction for diverse cotton genotypes

Plant Physiology and Biochemistry

Navneet Kaur

John L Snider

Andrew H Paterson

Timothy L Grey

Changying Li

...

2023/8/1

Blueberry Yield Estimation Through Multi-View Imagery with YOLOv8 Object Detection

Zhengkun Li

Changying Li

Patricio Munoz

2023

PeanutNeRF: 3D Radiance Field for Peanuts

Farah Saeed

Jin Sun

Peggy Ozias-Akins

Ye Juliet Chu

Changying Charlie Li

2023

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding

Andrew W Herr

Alper Adak

Matthew E Carroll

Dinakaran Elango

Soumyashree Kar

...

2023/7

A Data-Driven Approach for Design and Prediction of Soft Robotic Actuators Based on Finite Element Simulation and Machine Learning

Yuxuan Liu

2023

Sam for poultry science

arXiv preprint arXiv:2305.10254

Xiao Yang

Haixing Dai

Zihao Wu

Ramesh Bist

Sachin Subedi

...

2023/5/17

Intelligent soft robotic grippers for agricultural and food product handling: A brief review with a focus on design and control

Yuxuan Liu

Jixin Hou

Changying Li

Xianqiao Wang

2023

Contrastive Learning from Multiple Cameras for Accurate Plant Organ Counting

Daniel J Petti

Changying Li

2023

Robotic Vegetable Production

Zhengkun Li

Changying Li

2023/4/19

Anchor-free deep convolutional neural network for tracking and counting cotton seedlings and flowers

Computers and Electronics in Agriculture

Chenjiao Tan

Changying Li

Dongjian He

Huaibo Song

2023/12/1

Weakly-supervised learning to automatically count cotton flowers from aerial imagery

Computers and electronics in agriculture

Daniel Petti

Changying Li

2022/3/1

A review of high-throughput field phenotyping systems: focusing on ground robots

Rui Xu

Changying Li

2022/6/16

See List of Professors in Changying "Charlie" Li University(University of Georgia)

Co-Authors

H-index: 137
Andrew H Paterson

Andrew H Paterson

University of Georgia

H-index: 49
Won Suk Lee

Won Suk Lee

University of Florida

H-index: 46
fanbin kong

fanbin kong

University of Georgia

H-index: 42
Harald Scherm

Harald Scherm

University of Georgia

H-index: 36
Chee PW

Chee PW

University of Georgia

H-index: 30
Javad Mohammadpour Velni

Javad Mohammadpour Velni

University of Georgia

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