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- ● Rapid Chicken Sex Determination with Multiple Mechanisms and Artificial Intelligence, 2018
- ● Adaption of Clearpathrobotics platform (Husky) for cotton harvest, 2018
- ● Extensive Field testing and modification of the Clemson a Water System: Next Generation of Sensor-based Irrigation, 2018
- ● Demonstration of a low-cost small unmanned aircraft system (sUAS) to monitor water status of container-grown woody ornamentals, 2018
- ● Risk Management for Current and potential users of Unmanned Aircraft Systems (UAS), an emerging technology, 2018
- ● Agronomic Evaluation of Virginia and Runner Type Peanut Cultivars for South Carolina, With Evaluation and Implementation of Improved Monitoring, Production and Harvest Systems – 2017
- ● Cooperative Intelligent Robotic Systems for Cotton Production Phase 1, 2017
- ● Development of Intelligent Logger Controller for Cotton Phenotyping, 2017
- ● Refinement and Field Testing of the Clemson Electro-Mechanical Controller for Adjusting Pump Stroke On-the-Go, 2017
- ● Field Testing of the Clemson Electro-Mechanical Controller for Adjusting Pump Stroke On-the-Go, 2017
- ● Utilizing Deep-rooted Cover Crops to Enhance Water Quality, Soil Health, and Farm Profits While Reducing Soil Compaction in Coastal Plain Region, 2017-2020
- ● A Variable-Rate Nutrient Management Technique for Center Pivot Irrigation Systems, 2017-2018
- ● Rapid Proposal: Impact of storm surge on coastal forest demography in response to repeated hurricane disturbances, 2017
- ● Using UAV imagery data to predict yield in a cotton breeding program, 2016
- ● Development of Intelligent Logger Controller for Cotton Phenotyping, 2016
- ● Real-time, Variable-Depth Tillage for Managing Soil Compaction in Cotton Production, 2016-2017
- ● Using UAV imagery data to predict yield in a cotton breeding program, 2015
- ● Remote Sensing with an Unmanned Aerial Vehicle to Predict Insect Abundance and Crop Injury in Cotton, 2015
- ● Development and Evaluation of a Sensing Device for Quantifying Water Deficit Stress in Cotton, 2015
- ● Development of Remote Sensing Technologies for Important Insect Pests in South Carolina Soybeans, 2015
- ● Utilizing Space-Based Technology to Determine Hydrological Properties of Soils, 2014-2018
- ● Demonstration of Innovative Nutrient Management Strategies Combined with Soil Amendments to Enhance Nitrogen Use Efficiency, Farm Profitability, and Environmental Quality, 2014-2017
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