J A Thomasson

J A Thomasson

Mississippi State University

H-index: 30

North America-United States

About J A Thomasson

J A Thomasson, With an exceptional h-index of 30 and a recent h-index of 20 (since 2020), a distinguished researcher at Mississippi State University,

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

High-accuracy infrared thermography of cotton canopy temperature by unmanned aerial systems (UAS): Evaluating in-season prediction of yield

Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture

Continued development of autonomous mobile ground control point for increasing the accuracy of unmanned aerial-vehicle-based phenotyping

Evaluating object detection and stereoscopic localization of a robotic cotton harvester under real field conditions

Uncrewed aerial vehicle radiometric calibration: A comparison of autoexposure and fixed‐exposure images

A modular artificial neural network technique for early estimation of cotton yield using unmanned aerial system

A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VIII

J A Thomasson Information

University

Position

___

Citations(all)

4256

Citations(since 2020)

2091

Cited By

2847

hIndex(all)

30

hIndex(since 2020)

20

i10Index(all)

87

i10Index(since 2020)

53

Email

University Profile Page

Google Scholar

Top articles of J A Thomasson

Title

Journal

Author(s)

Publication Date

High-accuracy infrared thermography of cotton canopy temperature by unmanned aerial systems (UAS): Evaluating in-season prediction of yield

Smart Agricultural Technology

Jeffrey Siegfried

Nithya Rajan

Curtis B Adams

Haly Neely

Steve Hague

...

2024/3/1

Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture

arXiv preprint arXiv:2402.18553

Vaishali Swaminathan

J Alex Thomasson

Robert G Hardin

Nithya Rajan

2024/2/28

Continued development of autonomous mobile ground control point for increasing the accuracy of unmanned aerial-vehicle-based phenotyping

Collin J McLeod

J Alex Thomasson

2023/6/13

Evaluating object detection and stereoscopic localization of a robotic cotton harvester under real field conditions

Hussein Gharakhani

J Alex Thomasson

2023/6/13

Uncrewed aerial vehicle radiometric calibration: A comparison of autoexposure and fixed‐exposure images

The Plant Phenome Journal

G Cody Bagnall

John Alex Thomasson

Chenghai Yang

Tianyi Wang

Xiongzhe Han

...

2023/12

A modular artificial neural network technique for early estimation of cotton yield using unmanned aerial system

Amrit Shrestha

Vaishali Swaminathan

John Alexander Thomasson

Nithya Rajan

Chirinjibi Poudyal

...

2023/6/13

A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments

Computers and Electronics in Agriculture

Weiyue Xu

Tao Xu

J Alex Thomasson

Wei Chen

Raghupathy Karthikeyan

...

2023/8/1

Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VIII

Proc. of SPIE Vol

J Alex Thomasson

Christoph Bauer

2023/6

Integration and preliminary evaluation of a robotic cotton harvester prototype

Computers and Electronics in Agriculture

Hussein Gharakhani

J Alex Thomasson

Yuzhen Lu

2023/8/1

Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery

Computers and Electronics in Agriculture

Pappu Kumar Yadav

J Alex Thomasson

Robert Hardin

Stephen W Searcy

Ulisses Braga-Neto

...

2023/1/1

Plastic Contaminant Detection in Aerial Imagery of Cotton Fields Using Deep Learning

Agriculture

Pappu Kumar Yadav

J Alex Thomasson

Robert Hardin

Stephen W Searcy

Ulisses Braga-Neto

...

2023/7/9

Development of multiple UAV collaborative driving systems for improving field phenotyping

Sensors

Hyeon-Seung Lee

Beom-Soo Shin

J Alex Thomasson

Tianyi Wang

Zhao Zhang

...

2022/2/12

FTIR transmission spectroscopy for measurement of algae neutral lipids

Agricultural Engineering International: CIGR Journal

Talal Yasir AlShikaili

John Alex Thomasson

Yufeng Ge

Louis Brown

Jola Brown

2022/12/24

Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications

arXiv preprint arXiv:2207.07334

Pappu Kumar Yadav

J Alex Thomasson

Stephen W Searcy

Robert G Hardin

Ulisses Braga-Neto

...

2022/7/15

Improved autonomous mobile ground control point robot collaborates with UAV to improve accuracy of agriculture remote sensing

Kha Dan

Collin Mcleod

Alex Thomasson

2022/6/3

GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing

Computers and Electronics in Agriculture

Tianyi Wang

Xiaohan Mei

J Alex Thomasson

Chenghai Yang

Xiongzhe Han

...

2022/2/1

Modeling realistic 3D agricultural vegetations using a photometric-based approach and its application to weed detection

Computers and Electronics in Agriculture

Chengsong Hu

J Alex Thomasson

Chris Reberg-Horton

Steven B Mirsky

Muthukumar V Bagavathiannan

2022/7/1

Using under-canopy cotton imagery for cotton variety classification

Hussein Gharakhani

J Alex Thomasson

Peyman Nematzadeh

Pappu Kumar Yadav

Steve Hague

2022/6/3

An end-effector for robotic cotton harvesting

Smart Agricultural Technology

Hussein Gharakhani

J Alex Thomasson

Yuzhen Lu

2022/12/1

Artificial Intelligence in Agriculture

Hongliang Cao

Yaime Jefferson Milan

Sohrab Haghighi Mood

Michael Ayiania

Shu Zhang

2021

See List of Professors in J A Thomasson University(Mississippi State University)