1 citations · 1 across the 3 of their papers we have counts for
3 papers
AI-enabled Low-Cost 3D Maize Ear Morphometry Platform at Breeding Scale
Therin Young, Elijah Rodriguez, Lisa Coffey +4
Maize ear geometry (length, width, curvature, and volume) is closely tied to yield and grain-filling outcomes, but existing high-throughput phenotyping pipelines remain constrained…
MaizeEar-SAM: Zero-Shot Maize Ear Phenotyping
Hossein Zaremehrjerdi, Lisa Coffey, Talukder Jubery +6
Quantifying the variation in yield component traits of maize (Zea mays L.), which together determine the overall productivity of this globally important crop, plays a critical role…
Towards Autonomous Crop Monitoring: Inserting Sensors in Cluttered Environments
Moonyoung Lee, Aaron Berger, Dominic Guri +4
We present a contact-based phenotyping robot platform that can autonomously insert nitrate sensors into cornstalks to proactively monitor macronutrient levels in crops. This task i…