| Alan Peper | The Role of Calcite-Dissolving Bacteria in Promoting Sustainable Peanut (Arachis hypogaea) Production | 20 |
| Amrinder Jakhar | Impact of Biochar on Water Quality in Cotton Production System in the Mississippi Delta | 21 |
| Amrit Pokhrel | Predicting Yield-Contributing Physiological Parameters of Cotton Using UAV-Based Imagery | 7 |
| Andrew Ahlersmeyer | A Machine Learning Method to Improve Potassium Fertilizer Recommendations for Corn in South Dakota | 8 |
| Angel Adhikari | Assessment of Understory Vegetation in a Plantation Forest of the Southeastern United States Using Terrestrial Laser Scanning | 36 |
| Ayoub Heydarzade | USDA Pecan Postharvest - Industry 4.0 | 29 |
| Canicius Mwitta | Autonomous Navigation in Cotton Fields Using Deep Learning | 26 |
| Cody Mathis | Laboratory Testing of Fluted Wheels as a Metering System for Poultry Litter | 1 |
| Coleman Byers | Spray Performance Assessment of a DJI Agras T30 Drone Sprayer to Optimize Application Efficiency | 10 |
| Emily Bedwell | Estimating Sweet Corn Evapotranspiration in the Southeastern United States to Improve Irrigation Scheduling Efficacy | 17 |
| Fatemeh Mozaffar | USDA Pecan Postharvest - Moisture | 30 |
| Ioannis Galios | Developing Easier-to-Use Applications for Peanuts Irrigation Scheduling | 19 |
| Jasia Jannat | Quantifying the Frequency of Flash Drought in the Southeastern United States and Estimating its Effect on Yield of Rainfed Corn and Cotton | 16 |
| Jonathan Cárdenas | Lettuce Biomass Estimation and Stress Detection Using Multiple Remote Sensing Technologies | 39 |
| Joseph LaForest | EDDMapS: A Platform for Data Aggregation, Collection, and Sharing of Occurrence and Management Data | 33 |
| Kai Shen | Innovative Digital Twin and Machine Vision Approaches for Molluscan Phenotyping | 4 |
| Kaylyn Reagin | Using the Fieldprint Calculator to Evaluate Differences in Sustainability Metrics Across Various Cover Crop Treatments in Georgia | 18 |
| Konstaninos Gertsis | Efficiency of Unmanned Aerial Spraying Systems (UASSs) for Specialty Crops in Greece Grown Under Nethouse and Hail Protection Nets | 35 |
| Luke Fuhrer | Identification of Palmer Amaranth in Cotton Utilizing Deep Learning | 24 |
| Madan Sapkota | Spray Deposition and Quality Assessment at Different Ground Speeds for a Boom Sprayer with and without a Rate Controller | 11 |
| Mark Jackson | USDA Pecan Postharvest - Imaging | 31 |
| Matt Tucker | Influence of Soil Sampling Grid Size on Application Accuracy and Economics of Site-Specific Nutrient Application in Row-Crops | 22 |
| Miller Hayes | Cotton Irrigation Scheduling: A Comparison of Irrigation Scheduling Strategies | 12 |
| Morgan Sysskind | Temporal and Spatial Changes in Photosynthetic Parameters in Rainfed Peanut | 13 |
| Nick Gladden | Digital Literacy for Small to Mid-Sized Farms | 34 |
| Niloofar Rezaei | USDA Pecan Harvest - Cracking | 32 |
| Paul Kudyba | Cheap, Robust, and Secure Wireless Sensing and Logistics: A Feasibility Study | 23 |
| Peyton Lou Palsha | Chlorophyll Fluorescence Imaging: Monitoring Growth, Morphology, and Physiology of Hydroponic Lettuce in Response to Photosynthetic Photon Flux Desnities Under Sole-Source Lighting | 38 |
| Ramesh B Bist | Early Detection of Bumblefoot in Poultry: A Novel Approach to Improve Welfare | 5 |
| Ramviyas Parasuraman | Broiler Mortality Detection Using Robotic Vision and Deep Learning | 6 |
| Ravi Meena | Assessing Spray Droplet Spectra to Develop Spray Technologies for Precision Pesticide Applications | 14 |
| Runu Das | USDA Pecan Postharvest - Shelling | 28 |
| Sachin Subedi | Multiple Behavior Classification of Cage-Free Laying Hens Using Deep Learning | 2 |
| Shekhar Thapa | Performance Evaluation of an End-Effector Designed Based on Harvesting Multiple Cotton Bolls at a Time | 27 |
| Sudhir Payare | Evaluation of Relationships Between Crop Height and Image Spectral Reflectance in Peanut Crops Through the Length of Rotation Using UAV-Derived Lidar and Optical Imagery in South Central Georgia, U.S. | 9 |
| Sunaab Kukal | Developing a Mathematical Model for detecting Aflatoxin Hotspots in Peanut Fields | 15 |
| Vaishnavi Thesma | Development of a Distributed Computing Architecture for Spatiotemporal Mapping of Cotton Using Hadoop and Deep Learning | 25 |
| Xiao Yang | A Computer Vision Based Automatic System for Egg Grading and Defect Detection | 3 |
| Xue Zhou | Rapid Identification of Strawberry Runners Using AI Techniques | 37 |
