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Nick Shepard
PhD Candidate
Texas A&M University, College Station
I'm working on
7 months ago
Digital agriculture, phenomics, remote sensing, crop genomics
About
Nick Shepard works at the intersection of agronomy, genomics, and AI to enable high-throughput phenomics for crop improvement. He develops simple, scalable deep-learning pipelines using UAS/remote sensing to quantify key traits across environments and support breeding decisions.
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Texas A&M University, College Station
Automated high-precision UAV geospatial plot grid creation using Faster R-CNN
A cutting-edge solution leveraging Faster R-CNN and UAV technology to automate the creation of geospatially accurate plot grids, enhancing precision and efficiency in agricultural research.
TechnologyConceptualUniversity
Texas A&M University, College Station
GreenView: AI-driven greenhouse monitoring system
GreenView offers a low-cost, scalable AI-driven monitoring system for greenhouses, using RGB webcams and CNNs to analyze plant health in real-time. This technology enhances greenhouse management by providing data-driven ...
TechnologyConceptualUniversity
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