Alex Thomasson

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Professor and Department Head

Mississippi State University

United States

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About

Dr. Alex Thomasson is a Professor and Department Head at Mississippi State University, USA. His research areas focus on remote sensing and machine learning applications in agriculture, particularly in monitoring cotton crops and detecting plant diseases. Recent work includes advancements in UAV multispectral imaging for agricultural analysis and the integration of AI in precision agriculture practices.

Recent Grants

Grant: Close

Transitioning to a Nationwide Plant Phenotyping Network

Open Date: 2020-08-01

Close Date: 2023-07-01

Grant: Close

Identifying obstacles to applying big data to high-resolution decision-making in production agriculture

Open Date: 2018-08-01

Close Date: 2019-07-31

Grant: Close

 Enhancing Accessibility, Reliability, and Validation of Actionable Information from Unmanned Aerial Vehicle Image Data

Open Date: 2018-01-01

Close Date: 2019-12-01

Grant: Close

 Automated TERRA Phenotyping System for Genetic Improvement of Energy Crops

Open Date: 2016-01-01

Close Date: 2017-12-01

Grant: Close

Development of a Phytologically-Based Biosorptive Water Treatment Process

Open Date: 2001-01-01

Close Date: 2004-07-01

Articles (13)

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2025

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2024

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2024

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2023

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2022

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2021

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2021

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2020

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2020

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2020

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2020

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Texas A&M AgriLife Research

UNITED STATES

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Alex Thomasson

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (13)

Extracting Features from Oblique Ground-Based Multispectral Images for Monitoring Cotton Physiological Response to Nitrogen Treatments

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

Radiometric calibration of UAV multispectral images under changing illumination conditions with a downwelling light sensor

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

Cotton row spacing and unmanned aerial vehicle sensors

Motion Planning for Autonomous Grain Carts

Report from the conference, ‘identifying obstacles to applying big data in agriculture’

Forecasting Yield and Lignocellulosic Composition of Energy Cane Using Unmanned Aerial Systems

A plant-by-plant method to identify and treat cotton root rot based on UAV remote sensing

Adsorbent-SERS Technique for Determination of Plant VOCs from Live Cotton Plants and Dried Teas

Automatic classification of cotton root rot disease based on UAV remote sensing

Autonomous mobile ground control point improves accuracy of agricultural remote sensing through collaboration with UAV

Field-based calibration of unmanned aerial vehicle thermal infrared imagery with temperature-controlled references

Collaborators (6)

Jorge da Silva

Roberto Rodriguez III

NITHYA RAJAN

Haly Neely

Pappu Yadav

Juan Enciso

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