J. Alex Thomasson
Orcid: 0000-0002-5557-105X
According to our database1,
J. Alex Thomasson
authored at least 23 papers
between 2016 and 2024.
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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
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
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
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
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
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
Sensors, 2018
2016
Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery.
Comput. Electron. Agric., 2016