The people behind PhenoWorks
Building better tools for research, together.
PhenoWorks brings together researchers across disciplines to build reusable tools for crop phenotyping and data analysis.
Project Leadership
Scientific direction and project coordination.
Development Lead
Software architecture and platform development.
Lead Developer
Henry Ruiz
Research Scientist
Texas A&M AgriLife Research
Creator and lead developer of PhenoWorks and LgoPy, with a research focus on leveraging the emerging capabilities of Multimodal Large Language Models (MLLMs), including reasoning, planning, and multi-agent collaboration, to streamline analytical workflows for multimodal remote sensing data. His work integrates ground-based field observations, UAV imagery, satellite data, LiDAR, and Ground Penetrating Radar (GPR) to advance scientific research automation, agricultural digital phenotyping, precision agriculture, and AI-driven data analysis.
Contributors
A growing community contributing code, analysis blocks, plug-ins, documentation, and examples.
Contributor / Maintainer
Vijai Krishna Prasanna
Graduate Research Assistant in the Department of Soil and Crop Sciences
Texas A&M University @ Soil and Crop Sciences (SCSC)
Vijai Krishna Prasanna is a graduate student at Texas A&M University. His research focuses on agricultural robotics and the integration of computer vision, mechatronics, edge computing, and autonomous ground-based multi-sensor platforms for high-throughput crop phenotyping and site-specific weed management.
Contributor
Navjot Singh
Precision Ag Research Associate | PhD student
Texas A&M University @ Soil and Crop Sciences (SCSC)
Navjot Singh is a Precision Agricultural Research Associate and Ph.D. student in Soil and Crop Sciences at Texas A&M University. His research focuses on precision agriculture and the integration of machine learning, computer vision, data engineering, and drone-based imaging for weed detection, crop phenotyping, and site-specific weed management.
Contributor
Eric Torres
Graduate Research Assistant
Texas A&M University @ Soil and Crop Sciences (SCSC)
Eric Torres is a graduate student at Texas A&M University. His research focuses on turfgrass breeding and quantitative genetics, and on how ground and aerial based phenotyping platforms can support selection decisions. He also works in stochastic simulation of breeding programs, comparing selection strategies by weighing their cost against expected genetic gain.
Scientific Advisory Team
Research perspectives that guide scientific applications and future development.
