Data Fusion

Developed innovative technology to support secure data compartmentalization, sharing, visualization, and analysis that enables animal producers to maintain business continuity and perform risk management during an active animal disease outbreak, thereby minimizing business downtime and negative effects on the U.S. economy.

A system for integrating and analyzing syndromic surveillance data captured from mobile apps and other relevant sources. The data is aggregated and combined with embedded visualization and analysis tools to help determine baseline conditions in order to detect any anomalies that may signal the onset of an animal disease outbreak. This is one perspective of the AgConnect system.

Supported edge and corner detection and analysis algorithms and visual modeling and rendering for a real-time 3D trajectory tracking and guidance system utilizing novel event-based image sensing for vehicle docking.

A producer-friendly crop model- and sensor-based irrigation decision support system designed to provide real-time irrigation schedules and projected economic outcomes based on water use and production goals. The system uses management information from the user in conjunction with externally sourced data, including projected short-term weather, and generates crop growth and economic model scenarios. Remote detection of plant water stress using a sensor platform mounted on a pivot irrigation system improves irrigation schedules. Demonstrated with cotton in the Texas Rolling Plains region.

A model of the National Animal Health Laboratory Network (NAHLN) diagnostic testing capacity for use by individual labs and network administration. This model allows for the identification of rate limiting processes and helps to maximize the overall efficiency of the processes used by the labs and network personnel. This is one perspective of the AgConnect system.

A system to investigate strain movement and divergence across both time and space, as well as track and compare disease history and spread across animal production systems. The system integrates sequence data from multiple sources, incorporates different sequence alignment, comparison, and tree construction tools, and provides various visualization and analysis tools for working with the data. This is one perspective of the AgConnect system.

Designed and developed the Process-oriented Data Visualization (ProDV) visual analytics framework that provides rapid customization through a visual programming environment and desktop data visualization capabilities to detect the unexpected and discover the unexpected in large, complex datasets.

A software platform for study data curation that helps reduce errors when collecting and organizing study participant data coming from multiple wearable sensors. Data is cross-validated with participant records to reduce the likelihood of common data aggregation issues like misattribution. The tool allows for both automatic retrieving of data from cloud services as well as manual upload.

Designed, developed, tested, certified, and fielded a Universal Audit Tool (UAT) capable of performing baseline audits via a non-persistent agent on local and remote systems.

Decision support system that benefits farmers by improving effective use of water supplies through interventions in small-scale irrigation. Enabled the evaluation, selection, and assessment of the impact of small-scale irrigation technologies for smallholder farmers.