Area of research
Plant Science · Soil Science
Research interest
Research interests include Irrigation Practices and Water Management, Crop Yield and Soil Fertility, Climate change impacts on agriculture, and Wheat and Barley Genetics and Pathology.
Fruit compositional differences in ‘Albion and ‘San Andreas’ strawberries grown in a hydroponic system
Soil and crop response to varying planter's downforce in corn and cotton fields
The Impact of Irrigation on Surface Nitrate Export from Agricultural Fields in the Southeastern United States
Predicting below and above-ground peanut biomass and maturity using multi-target regression
Real-time mapping of crop canopy temperature using a wireless network of infrared thermometers on a central pivot
Soil and Crop Response to Varying Planter's Downforce in Corn and Cotton Fields
A methodology to optimize site-specific field capacity and irrigation thresholds
Integrating artificial neural networks and remote sensing for prediction of peanut maturity as a function of management zones
Real-Time Mapping of Crop Canopy Temperature Using a Wireless Network of Infrared Thermometers on a Central Pivot
Site-specific irrigation scheduling using one-layer soil hydraulic properties and inverse modeling
A comparison of precision and conventional irrigation in corn production in Southeast Alabama
Training Machine Learning Algorithms Using Remote Sensing and Topographic Indices for Corn Yield Prediction
Using Soil, Plant, Topographic and Remotely Sensed Data to Determine the Best Method for Defining Aflatoxin Contamination Risk Zones within Fields for Precision Management
Development of a method to assess the risk of aflatoxin contamination of corn within counties in southern Georgia, USA using remotely sensed data
Determining future aflatoxin contamination risk scenarios for corn in Southern Georgia, USA using spatio-temporal modelling and future climate simulations
99. Variability of the active hydraulic downforce system related to cotton seed depth and emergence
Determining Future Aflatoxin Contamination Risk Scenarios for Corn in Southern Georgia, USA using Spatio-temporal Modelling and Future Climate Simulations
Long Short-Term Memory Neural Network for irrigation management: a case study from Southern Alabama, USA
Irrigation Scheduling to Promote Corn Productivity in Central Alabama
Evaluation of Two Irrigation Scheduling Methods and Nitrogen Rates on Corn Production in Alabama
A Climate Smart Framework for Forecasting Field-level Potential Evapotranspiration and Irrigation Requirement with Numerical Weather Predictions and Satellite Remote Sensing
Multispectral UAS Data Accuracy for Different Radiometric Calibration Methods
Evaluating and improving soil sensor-based variable irrigation scheduling on farmers' fields in Alabama
Artificial neural networks for irrigation management: a case study from southern Alabama, USA
Minimum Temperature, Rainfall, and Agronomic Management Impacts on Corn Grain Aflatoxin Contamination
Evaluating a generic drought index as a predictive tool for aflatoxin contamination of corn: From plot to regional level
Defining and characterizing Aflatoxin contamination risk areas for corn in Georgia, USA: Adjusting for collinearity and spatial correlation
Inference System for Irrigation Scheduling with an Intelligent Agent
Decision Support System for Precision Irrigation Using Interactive Maps and Multi-agent Concepts
Climate and Crops iBook: A resource to help Southeast farming adapt to a variable climate