J. Alex Thomasson

Orcid: 0000-0002-5557-105X

According to our database1, J. Alex Thomasson authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
AI-Driven Computer Vision Detection of Cotton in Corn Fields Using UAS Remote Sensing Data and Spot-Spray Application.
Remote. Sens., August, 2024

Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture.
CoRR, 2024

Field test and evaluation of an innovative vision-guided robotic cotton harvester.
Comput. Electron. Agric., 2024

2023
A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments.
Comput. Electron. Agric., August, 2023

Integration and preliminary evaluation of a robotic cotton harvester prototype.
Comput. Electron. Agric., August, 2023

Detecting volunteer cotton plants in a corn field with deep learning on UAV remote-sensing imagery.
Comput. Electron. Agric., 2023

2022
Development of Multiple UAV Collaborative Driving Systems for Improving Field Phenotyping.
Sensors, 2022

Algorithm and System Development for Robotic Micro-Volume Herbicide Spray Towards Precision Weed Management.
IEEE Robotics Autom. Lett., 2022

Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning.
CoRR, 2022

Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages.
CoRR, 2022

Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications.
CoRR, 2022

GIS-based volunteer cotton habitat prediction and plant-level detection with UAV remote sensing.
Comput. Electron. Agric., 2022

Modeling realistic 3D agricultural vegetations using a photometric-based approach and its application to weed detection.
Comput. Electron. Agric., 2022

2021
Motion Planning for Autonomous Grain Carts.
IEEE Trans. Veh. Technol., 2021

Influence of Image Quality and Light Consistency on the Performance of Convolutional Neural Networks for Weed Mapping.
Remote. Sens., 2021

A powerful image synthesis and semi-supervised learning pipeline for site-specific weed detection.
Comput. Electron. Agric., 2021

2020
Field-Based Calibration of Unmanned Aerial Vehicle Thermal Infrared Imagery with Temperature-Controlled References.
Sensors, 2020

Automatic Classification of Cotton Root Rot Disease Based on UAV Remote Sensing.
Remote. Sens., 2020

A Plant-by-Plant Method to Identify and Treat Cotton Root Rot Based on UAV Remote Sensing.
Remote. Sens., 2020

2019
Multifunctional Ground Control Points with a Wireless Network for Communication with a UAV.
Sensors, 2019

2018
Measurement and Calibration of Plant-Height from Fixed-Wing UAV Images.
Sensors, 2018

2016
Imaging for High-Throughput Phenotyping in Energy Sorghum.
J. Imaging, 2016

Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery.
Comput. Electron. Agric., 2016


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