Student (Home Institution) |
Mentor (Department) |
Research Project Title |
---|---|---|
Sabyasachi Biswas (Mississippi State University) |
John Ball, PhD (Electric & Computer Engineering) |
Design and Implementation of a Software Defined Radio-Based Radiometer Operating from a Small Unmanned Aircraft System |
Ajaya Dahal (Mississippi State University) |
Ali Gurbuz, PhD (Electric & Computer Engineering) |
Spectrum Scanning and Passive Microwave Remote Sensing |
Eric Fiah (Mississippi State University) |
Mahalingam Ramkumar, PhD (Computer Science) |
Combined Microbiome and Farm Practices Variables for Pathogen Prediction |
Luke Fuhrer (University of Georgia) |
Joby Czarnecki, PhD (Geosystems Research Institute) |
Identification of Palmer Amaranth in Cotton Utilizing Deep Learning |
Mirhossein Karimi (Mississippi State University) |
Ali Gurbuz, PhD (Electric & Computer Engineering) |
A Machine Learning Framework for Yield Estimation Problem Using LiDAR and Multi-Spectral Images |
Xiaoying Li (Virginia Polytech Institute) |
Bindu Nanduri, PhD (Comparative Biomedical Sciences) |
Microbiome Characterization Along the Farm-to-Fork Continuum of Pastured Poultry Flocks in the Southeastern United States |
Chintan Maniyar (University of Georgia) |
Sathish Samiappan, PhD Alessandro Matese, PhD (Geosystems Research Institute) |
Neural Network-Based High Throughput Field Phenotyping of Horticultural Crops Using Hyperspectral UAV Imagery |
Rito Medina (University of California, Fresno) |
Joby Czarnecki, PhD (Geosystems Research Institute) |
Predictive Soil Mapping for Apparent Electrical Conductivity Using Composite Soil Imagery & EM38 Soil Survey Data in the Mississippi Delta |
Emma Schultz (Mississippi State University) |
Garrett Street (Wildlife, Fisheries, and Aquaculture) |
On the Move: How Animal and Small Unoccupied Aircraft System (sUAS) Movements Influence Survey Error |
Dhiraj Srivastava (Virginia Polytech Institute) |
Sathish Samiappan, PhD Alessandro Matese, PhD (Geosystems Research Institute) |
Study of Deep Learning Methods for Remote Sensing of Turf Weeds Using Visible Spectrum Imagery |